Docling Serve API

The docling-serve-api module defines the core, framework-agnostic Java API used to communicate with a Docling Serve backend. It provides the request/response model and the main DoclingServeApi interface. You can use any implementation of this interface to talk to a running Docling Serve instance.

The base Java version is 17. Its only other required dependency is SLF4J (slf4j-api), and it is compatible with both Jackson 2.x and 3.x.

If you need a ready-to-use HTTP implementation, see the reference client: - Docling Serve Client: docling-serve-client

When to use this module

• You want a stable, typed Java model for Docling Serve requests/responses without committing to a specific HTTP stack.
• You plan to create your own client implementation (e.g., different HTTP lib, reactive runtime) but still rely on the shared API model.
• You want to write code that is portable across different client implementations.

Installation

Add the API dependency to your project.

GradleMaven

dependencies {
  implementation("ai.docling:docling-serve-api:0.7.0")
}

<dependency>
  <groupId>ai.docling</groupId>
  <artifactId>docling-serve-api</artifactId>
  <version>0.7.0</version>
</dependency>

Note: The API module does not perform network I/O by itself. To call a live service, combine it with an implementation such as docling-serve-client.

GraalVM Native Image

The API JAR ships reflection metadata at META-INF/native-image/ai.docling/docling-serve-api/reflect-config.json. It covers request and response models, polymorphic sources and targets, enums, Lombok builders (including inherited builders), and custom Jackson serializers and deserializers. The transitive docling-core dependency supplies metadata for DoclingDocument and its nested types.

GraalVM discovers these files automatically. Spring Boot native applications can use the models without a custom RuntimeHintsRegistrar. Include your chosen Jackson version as usual; the metadata supports Jackson 2 and Jackson 3 separately and does not add either as a runtime dependency.

Quick start

Below is a minimal example using the reference client to create an implementation of DoclingServeApi, build a conversion request, and retrieve Markdown output. The request/response types all come from docling-serve-api.

import java.net.URI;
import ai.docling.serve.api.DoclingServeApi;
import ai.docling.serve.api.convert.request.ConvertDocumentRequest;
import ai.docling.serve.api.convert.request.options.ConvertDocumentOptions;
import ai.docling.serve.api.convert.request.options.OutputFormat;
import ai.docling.serve.api.convert.request.source.HttpSource;
import ai.docling.serve.api.convert.request.target.InBodyTarget;
import ai.docling.serve.api.convert.response.InBodyConvertDocumentResponse;

DoclingServeApi api = DoclingServeApi.builder()
    .baseUrl("http://localhost:8000") // your Docling Serve URL
    .logRequests() // log HTTP requests
    .logResponses() // log HTTP responses
    .prettyPrint() // pretty-print JSON requests/responses
    .apiKey("optionally your api key")
    .build();

ConvertDocumentRequest request = ConvertDocumentRequest.builder()
    .source(HttpSource.builder().url(URI.create("https://arxiv.org/pdf/2408.09869"))
        .build())
    .options(ConvertDocumentOptions.builder()
        .toFormat(OutputFormat.MARKDOWN) // request Markdown output
        .includeImages(true)
        .build())
    .target(InBodyTarget.builder().build()) // get results in the HTTP response body
    .build();

InBodyConvertDocumentResponse response = (InBodyConvertDocumentResponse) api.convertSource(request);
System.out.println(response.getDocument().getMarkdownContent());

Core concepts

The DoclingServeApi interface

Defined in ai.docling.serve.api.DoclingServeApi, this interface exposes many operations:

Any HTTP or non-HTTP implementation can implement this interface. The reference implementation is provided by the docling-serve-client module.

Extension Points

The docling-serve-api module uses the Java Service Provider Interface to define an extension point for creating instances of DoclingServeApi. An application (or downstream framework) can implement ai.docling.serve.api.spi.DoclingServeApiProvider and register it via the META-INF/services/ai.docling.serve.api.spi.DoclingServeApiProvider file, or with a provides clause in module-info.java.

DoclingServeApi.builder() collects the configuration into an immutable DoclingServeApiConfig, and build() hands it to the single available provider:

public final class MyProvider implements DoclingServeApiProvider {
  @Override
  public DoclingServeApi create(DoclingServeApiConfig config) {
    return new MyDoclingServeApi(config);
  }
}

Because providers receive a configuration object rather than implementing a builder, new options can be added in later releases without breaking existing providers. The API they create reports its configuration through DoclingServeApi.config().

This is exactly what the docling-serve-client module does to provide its implementation. See module-info.java and DoclingServeClientProvider.java.

Declaring unsupported options

A provider that cannot honor an option declares it in unsupportedOptions(), together with what should happen when a caller explicitly sets it:

• IGNORE — silently ignore the option.
• WARN — log a warning naming the option and the provider.
• FAIL — make build() throw an UnsupportedConfigurationException.

Options left at their default value are never reported. For example, a reactive implementation that manages its own threads can declare the async executor as meaningless for it:

@Override
public Map<ConfigOption<?>, Unsupported> unsupportedOptions() {
  return Map.of(DoclingServeApiConfig.ASYNC_EXECUTOR, Unsupported.WARN);
}

Options absent from this map are assumed to be honored. Providers must not silently ignore the base URL, the API key or the timeouts.

Migrating from DoclingServeApiBuilderFactory

The previous SPI, ai.docling.serve.api.spi.DoclingServeApiBuilderFactory, is deprecated for removal. It is still used when no DoclingServeApiProvider is available, but options added after its deprecation (such as asyncExecutor) make build() fail through it. See Migrating to DoclingServeApiProvider for a step-by-step guide.

Requests: ConvertDocumentRequest

Create a request via the builder:

ConvertDocumentRequest request = ConvertDocumentRequest.builder()
    .source(/* one of the supported sources */)
    .options(/* conversion options */)
    .target(/* optional delivery target */)
    .build();

Supported sources (ai.docling.serve.api.convert.request.source): - HttpSource — fetch content from a URL (optional custom headers) - FileSource — embed content as Base64 with a filename - S3Source — fetch content from an S3 bucket

Targets (ai.docling.serve.api.convert.request.target): - InBodyTarget — receive results directly in the API response body (default use case) - PresignedUrlTarget — the service uploads each output artifact to its configured object storage and returns time-limited presigned download URLs (requires docling-serve v1.22.0+) - PutTarget — the service uploads converted content via HTTP PUT to a specified URI - ZipTarget — receive a zipped result - S3Target — upload converted content to an S3 bucket

Options (ai.docling.serve.api.convert.request.options.ConvertDocumentOptions) let you control: - Input/output formats (e.g., fromFormats, toFormats) - OCR (e.g., doOcr, forceOcr, ocrEngine, ocrLang) - PDF processing (e.g., pdfBackend) - Tables (e.g., tableMode, tableCellMatching) - Pipelines and page ranges (e.g., pipeline, pageRange) - Timeouts and error behavior (e.g., documentTimeout, abortOnError) - Enrichments (code/formula/picture), image handling, scaling, page break placeholder - VLM pipeline hints

Explore the options package for the full list of knobs you can turn.

Responses: InBodyConvertDocumentResponse, PreSignedUrlConvertDocumentResponse, PreSignedUrlConvertResponse, ZipArchiveConvertDocumentResponse, and DocumentResponse

• InBodyConvertDocumentResponse contains the converted document (if any), errors, processing status, total processing_time, and detailed timings map.
• PreSignedUrlConvertDocumentResponse contains processing statistics - total processing_time and conversion metrics num_converted, num_succeeded, num_partially_succeeded, num_failed.
• PreSignedUrlConvertResponse is returned when using a PresignedUrlTarget. It contains per-document results in a documents list, where each DocumentArtifactItem carries the conversion status, any errors, and a list of ArtifactRef entries with presigned download URLs for each output format. It also includes the same aggregate conversion metrics as PreSignedUrlConvertDocumentResponse.
• ZipArchiveConvertDocumentResponse contains file_name and an input stream for the archive.
• DocumentResponse holds the actual content fields you requested, such as md_content (Markdown), html_content, text_content, and a json_content map. It also includes the filename and doctags_content when relevant.

Presigned URL target example

When using a PresignedUrlTarget, the response contains per-document artifact download links:

import java.net.URI;
import ai.docling.serve.api.DoclingServeApi;
import ai.docling.serve.api.convert.request.ConvertDocumentRequest;
import ai.docling.serve.api.convert.request.source.HttpSource;
import ai.docling.serve.api.convert.request.target.PresignedUrlTarget;
import ai.docling.serve.api.convert.response.PreSignedUrlConvertResponse;

DoclingServeApi api = DoclingServeApi.builder()
    .baseUrl("http://localhost:8000")
    .build();

ConvertDocumentRequest request = ConvertDocumentRequest.builder()
    .source(HttpSource.builder().url(URI.create("https://arxiv.org/pdf/2408.09869")).build())
    .target(PresignedUrlTarget.builder().build())
    .build();

PreSignedUrlConvertResponse response = (PreSignedUrlConvertResponse) api.convertSource(request);
System.out.println("Converted: " + response.getNumSucceeded() + "/" + response.getNumConverted());

response.getDocuments().forEach(doc -> {
    System.out.println(doc.getFilename() + " -> " + doc.getStatus());
    doc.getArtifacts().forEach(artifact ->
        System.out.println("  " + artifact.getArtifactType() + ": " + artifact.getUri()));
});

Health checks

You can ping the service to check readiness and basic status:

import ai.docling.serve.api.health.HealthCheckResponse;

HealthCheckResponse health = api.health();
System.out.println("Service status: " + health.getStatus());

Error handling

Conversion may succeed partially (e.g., some pages) while returning warnings or errors. Always inspect InBodyConvertDocumentResponse#getErrors() and consider status:

InBodyConvertDocumentResponse response = (InBodyConvertDocumentResponse) api.convertSource(request);

if (response.getErrors() != null && !response.getErrors().isEmpty()) {
  response.getErrors().forEach(err ->
      System.err.println("Component: " + err.getComponentType() + 
          ", Module: " + err.getModuleName() + 
          ", Message: " + err.getErrorMessage()));
}

if (response.getDocument() != null && response.getDocument().getMarkdownContent() != null) {
  // Use the output
}

The exact transport-level exceptions (e.g., timeouts, connectivity) depend on the client implementation you use. The reference client throws standard Java exceptions for HTTP and I/O failures.

Validation errors

In the case of a request validation error (i.e. docling-serve throws a 422 error), the docling-java API will throw an ai.docling.serve.api.validation.ValidationException which can be caught and inspected.

Logging and builders

DoclingServeApi.builder() exposes logRequests() and logResponses() for simple diagnostics. To create a modified copy of an existing API, start from its configuration:

DoclingServeApi newApi = api.config()
    .toBuilder()
    .logRequests()
    .logResponses()
    .build();

Version compatibility

The API is tested against all published versions of Docling Serve each week. Below are the latest run results:

Results for ghcr.io/docling-project/docling-serve as of 2026-09-21T04:37:05.137924490Z

Here are the results:

Tag	Result	Details
v1.34.0	✅ SUCCESS	Click for run details
v1.33.0	✅ SUCCESS	Click for run details
v1.32.0	✅ SUCCESS	Click for run details
v1.31.0	✅ SUCCESS	Click for run details
v1.30.0	✅ SUCCESS	Click for run details
v1.29.0	✅ SUCCESS	Click for run details
v1.28.0	✅ SUCCESS	Click for run details
v1.27.0	✅ SUCCESS	Click for run details
v1.26.0	✅ SUCCESS	Click for run details
v1.25.0	✅ SUCCESS	Click for run details
v1.24.0	✅ SUCCESS	Click for run details
v1.23.0	✅ SUCCESS	Click for run details
v1.22.1	✅ SUCCESS	Click for run details
v1.22.0	✅ SUCCESS	Click for run details
v1.21.0	✅ SUCCESS	Click for run details
v1.20.0	✅ SUCCESS	Click for run details
v1.19.0	✅ SUCCESS	Click for run details
v1.18.0	✅ SUCCESS	Click for run details
v1.17.0	✅ SUCCESS	Click for run details
v1.16.1	✅ SUCCESS	Click for run details
v1.15.0	✅ SUCCESS	Click for run details
v1.14.3	✅ SUCCESS	Click for run details
v1.14.2	✅ SUCCESS	Click for run details
v1.14.1	✅ SUCCESS	Click for run details
v1.14.0	✅ SUCCESS	Click for run details
v1.13.1	✅ SUCCESS	Click for run details
v1.13.0	✅ SUCCESS	Click for run details
v1.12.0	✅ SUCCESS	Click for run details
v1.11.0	✅ SUCCESS	Click for run details
v1.10.0	✅ SUCCESS	Click for run details
v1.9.0	✅ SUCCESS	Click for run details
v1.8.0	✅ SUCCESS	Click for run details
v1.7.2	✅ SUCCESS	Click for run details
v1.7.1	✅ SUCCESS	Click for run details
v1.7.0	✅ SUCCESS	Click for run details
v1.6.0	✅ SUCCESS	Click for run details
v1.5.1	✅ SUCCESS	Click for run details
v1.5.0	✅ SUCCESS	Click for run details
v1.4.1	✅ SUCCESS	Click for run details
v1.4.0	✅ SUCCESS	Click for run details
v1.3.1	✅ SUCCESS	Click for run details
v1.3.0	✅ SUCCESS	Click for run details
v1.2.2	✅ SUCCESS	Click for run details
v1.2.1	✅ SUCCESS	Click for run details
v1.2.0	✅ SUCCESS	Click for run details
v1.1.0	✅ SUCCESS	Click for run details
v1.0.1	✅ SUCCESS	Click for run details
v1.0.0	✅ SUCCESS	Click for run details

Details

ghcr.io/docling-project/docling-serve:v1.34.0

Click to expand

###### Message

Click to collapse

Tag v1.34.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:36:48 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:36:48 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:36:48 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointSourceProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'BoxSourceProcessor' skipped — optional dependency not installed (No module named 'box_sdk_gen'). Install the matching extra to enable it.
INFO:   04:36:48 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'AstraDBTargetProcessor' skipped — optional dependency not installed (No module named 'astrapy'). Install the matching extra to enable it.
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointTargetProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'KafkaTargetProcessor' skipped — optional dependency not installed (No module named 'confluent_kafka'). Install the matching extra to enable it.
INFO:   04:36:48 - docling_jobkit.connectors.plugins.defaults - Connector 'BoxTargetProcessor' skipped — optional dependency not installed (No module named 'box_sdk_gen'). Install the matching extra to enable it.
INFO:   04:36:49 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:36:49 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:36:49 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/readyz$,/livez$,/healthz$,/metrics$,/health$,/ready$)
INFO:   04:36:49 - uvicorn.error - Started server process [1]
INFO:   04:36:49 - uvicorn.error - Waiting for application startup.
INFO:   04:36:51 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:36:52 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:36:52 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:36:52 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:36:52 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:36:52 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 4b071d1415ad1ebea85cea80f4d6fa7b
INFO:   04:36:52 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:36:52 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:36:52 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:36:52.382300273 [W:onnxruntime:Default, device_discovery.cc:146 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:36:52 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:36:52,888 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:52,889 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:36:52,943 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:52,943 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:36:52,982 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:52,982 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:36:53 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:36:53 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:36:53 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▋   | 511/770 [00:00<00:00, 5105.08it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5084.16it/s]
INFO:   04:36:53 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:36:53 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:36:53 - uvicorn.error - Application startup complete.
INFO:   04:36:53 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:36:54 - docling_serve.app - Health check requested
INFO:   04:36:54 - uvicorn.access - 172.17.0.1:53750 - "GET /health HTTP/1.1" 200
INFO:   04:36:54 - docling_serve.app - Health check requested
INFO:   04:36:54 - uvicorn.access - 172.17.0.1:53754 - "GET /health HTTP/1.1" 200
INFO:   04:36:54 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:36:54 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:36:54 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:36:54 - docling_serve.app - [TENANT_ID] Task a9185a83-9ec7-4988-a5b8-d130aff2acf4 created with tenant_id='default'
INFO:   04:36:54 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task a9185a83-9ec7-4988-a5b8-d130aff2acf4
INFO:   04:36:54 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:36:54 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:36:54 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:36:54 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:36:54,654 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:54,654 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:36:54,703 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:54,704 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:36:54,750 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:54,750 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:36:54 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:36:54 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:36:54 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▋   | 511/770 [00:00<00:00, 5109.59it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5099.84it/s]
INFO:   04:36:55 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:36:55 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:36:55 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:36:55 - docling.document_converter - Going to convert document batch...
INFO:   04:36:55 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:36:55 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:36:56 - docling.document_converter - Finished converting document file in 0.53 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:661: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:36:56 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:36:56 - docling_jobkit.convert.results - Processed 1 docs in 0.60 seconds.
INFO:   04:36:56 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job a9185a83-9ec7-4988-a5b8-d130aff2acf4 in 0.60 seconds
INFO:   04:36:56 - uvicorn.access - 172.17.0.1:53754 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:36:56 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:36:56 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:36:56 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:36:56 - docling_serve.app - [TENANT_ID] Task f318ee76-90bb-48d4-baeb-554d86aab388 created with tenant_id='default'
INFO:   04:36:56 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task f318ee76-90bb-48d4-baeb-554d86aab388
INFO:   04:36:56 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:36:56 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:36:56 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:36:56 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:36:56,670 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:56,670 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:36:56,715 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:56,715 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:36:56,755 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:56,756 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:36:56 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:36:56 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:36:56 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 516/770 [00:00<00:00, 5155.67it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5158.15it/s]
INFO:   04:36:57 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:36:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:36:58 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:36:58 - docling.document_converter - Going to convert document batch...
INFO:   04:36:58 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:36:58 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:36:58 - docling.document_converter - Finished converting document file in 0.64 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:661: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:36:58 - docling_jobkit.convert.results - Processed 1 docs in 0.65 seconds.
INFO:   04:36:58 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job f318ee76-90bb-48d4-baeb-554d86aab388 in 0.65 seconds
INFO:   04:36:58 - uvicorn.access - 172.17.0.1:53754 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:36:58 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:36:58 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:36:58 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:36:58 - docling_serve.app - [TENANT_ID] Task 76008a99-b409-422e-a551-805b203041e3 created with tenant_id='default'
INFO:   04:36:58 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 76008a99-b409-422e-a551-805b203041e3
INFO:   04:36:58 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:36:58 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 78cb5ade368814d0813875c101ee149b
INFO:   04:36:58 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:36:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:36:58,684 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:58,684 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:36:58,729 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:58,729 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:36:58,769 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:36:58,769 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:36:58 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:36:58 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:36:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▍   | 500/770 [00:00<00:00, 4988.66it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5020.12it/s]
INFO:   04:36:59 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:36:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:37:00 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:37:00 - docling.document_converter - Going to convert document batch...
INFO:   04:37:00 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 78cb5ade368814d0813875c101ee149b
INFO:   04:37:00 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:37:00 - docling.document_converter - Finished converting document file in 0.35 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:661: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:37:00 - docling_jobkit.convert.results - Processed 1 docs in 0.39 seconds.
INFO:   04:37:00 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 76008a99-b409-422e-a551-805b203041e3 in 0.39 seconds
INFO:   04:37:00 - uvicorn.access - 172.17.0.1:53754 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:37:00 - uvicorn.access - 172.17.0.1:53754 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:37:00 - uvicorn.access - 172.17.0.1:53754 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.33.0

Click to expand

###### Message

Click to collapse

Tag v1.33.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:35:17 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:35:18 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:35:18 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:35:18 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointSourceProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:35:18 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:35:18 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   04:35:18 - docling_jobkit.connectors.plugins.defaults - Connector 'AstraDBTargetProcessor' skipped — optional dependency not installed (No module named 'astrapy'). Install the matching extra to enable it.
INFO:   04:35:18 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointTargetProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:35:18 - docling_jobkit.connectors.plugins.defaults - Connector 'KafkaTargetProcessor' skipped — optional dependency not installed (No module named 'confluent_kafka'). Install the matching extra to enable it.
INFO:   04:35:18 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:35:18 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:35:18 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/metrics$,/readyz$,/ready$,/health$,/healthz$,/livez$)
INFO:   04:35:18 - uvicorn.error - Started server process [1]
INFO:   04:35:18 - uvicorn.error - Waiting for application startup.
INFO:   04:35:21 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:35:22 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:35:22 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:35:22 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:35:22 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:35:22 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 4b071d1415ad1ebea85cea80f4d6fa7b
INFO:   04:35:22 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:35:22 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:35:22 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:35:22.376614995 [W:onnxruntime:Default, device_discovery.cc:146 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:35:22 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:35:22,896 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:22,897 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:35:22,972 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:22,972 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:35:23,015 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:23,015 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:35:23 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:35:23 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:35:23 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  64%|██████▍   | 496/770 [00:00<00:00, 4936.64it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4824.88it/s]
INFO:   04:35:23 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:35:23 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:35:24 - uvicorn.error - Application startup complete.
INFO:   04:35:24 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:35:24 - docling_serve.app - Health check requested
INFO:   04:35:24 - uvicorn.access - 172.17.0.1:41524 - "GET /health HTTP/1.1" 200
INFO:   04:35:24 - docling_serve.app - Health check requested
INFO:   04:35:24 - uvicorn.access - 172.17.0.1:41530 - "GET /health HTTP/1.1" 200
INFO:   04:35:24 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:35:24 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:35:24 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:35:24 - docling_serve.app - [TENANT_ID] Task 8a3c8e63-dfb0-42cb-8118-f30a2eacf0f0 created with tenant_id='default'
INFO:   04:35:24 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 8a3c8e63-dfb0-42cb-8118-f30a2eacf0f0
INFO:   04:35:24 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:35:24 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:35:24 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:35:24 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:35:24,658 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:24,658 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:35:24,711 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:24,711 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:35:24,777 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:24,777 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:35:24 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:35:24 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:35:24 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  62%|██████▏   | 476/770 [00:00<00:00, 4755.90it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4907.71it/s]
INFO:   04:35:25 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:35:25 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:35:25 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:35:26 - docling.document_converter - Going to convert document batch...
INFO:   04:35:26 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:35:26 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:35:26 - docling.document_converter - Finished converting document file in 0.51 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:655: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:35:26 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:35:26 - docling_jobkit.convert.results - Processed 1 docs in 0.59 seconds.
INFO:   04:35:26 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 8a3c8e63-dfb0-42cb-8118-f30a2eacf0f0 in 0.59 seconds
INFO:   04:35:26 - uvicorn.access - 172.17.0.1:41530 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:35:26 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:35:26 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:35:26 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:35:26 - docling_serve.app - [TENANT_ID] Task 1d9bc61a-7579-4366-a4aa-a8a867d609f0 created with tenant_id='default'
INFO:   04:35:26 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 1d9bc61a-7579-4366-a4aa-a8a867d609f0
INFO:   04:35:26 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:35:26 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:35:26 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:35:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:35:26,686 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:26,687 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:35:26,738 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:26,738 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:35:26,805 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:26,805 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:35:26 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:35:26 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:35:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  64%|██████▍   | 491/770 [00:00<00:00, 4877.54it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4964.25it/s]
INFO:   04:35:27 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:35:27 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:35:27 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:35:28 - docling.document_converter - Going to convert document batch...
INFO:   04:35:28 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash a2e22ed4b71003a02ccc48074bc1ab74
INFO:   04:35:28 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:35:28 - docling.document_converter - Finished converting document file in 0.48 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:655: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:35:28 - docling_jobkit.convert.results - Processed 1 docs in 0.48 seconds.
INFO:   04:35:28 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 1d9bc61a-7579-4366-a4aa-a8a867d609f0 in 0.48 seconds
INFO:   04:35:28 - uvicorn.access - 172.17.0.1:41530 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:35:28 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:35:28 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:35:28 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:35:28 - docling_serve.app - [TENANT_ID] Task f8487ffa-c010-4ec4-b364-7e121cadb134 created with tenant_id='default'
INFO:   04:35:28 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task f8487ffa-c010-4ec4-b364-7e121cadb134
INFO:   04:35:28 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:35:28 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 78cb5ade368814d0813875c101ee149b
INFO:   04:35:28 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:35:28 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:35:28,705 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:28,705 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:35:28,755 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:28,756 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:35:29,100 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:35:29,100 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:35:29 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:35:29 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:35:29 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  62%|██████▏   | 478/770 [00:00<00:00, 4776.52it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4880.10it/s]
INFO:   04:35:29 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:35:29 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:35:30 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:35:30 - docling.document_converter - Going to convert document batch...
INFO:   04:35:30 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 78cb5ade368814d0813875c101ee149b
INFO:   04:35:30 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:35:30 - docling.document_converter - Finished converting document file in 0.35 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:655: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:35:30 - docling_jobkit.convert.results - Processed 1 docs in 0.40 seconds.
INFO:   04:35:30 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job f8487ffa-c010-4ec4-b364-7e121cadb134 in 0.40 seconds
INFO:   04:35:30 - uvicorn.access - 172.17.0.1:41530 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:35:30 - uvicorn.access - 172.17.0.1:41530 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:35:30 - uvicorn.access - 172.17.0.1:41530 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.32.0

Click to expand

###### Message

Click to collapse

Tag v1.32.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:33:50 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:33:50 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:33:50 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:33:51 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointSourceProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:33:51 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:33:51 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   04:33:51 - docling_jobkit.connectors.plugins.defaults - Connector 'AstraDBTargetProcessor' skipped — optional dependency not installed (No module named 'astrapy'). Install the matching extra to enable it.
INFO:   04:33:51 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointTargetProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:33:51 - docling_jobkit.connectors.plugins.defaults - Connector 'KafkaTargetProcessor' skipped — optional dependency not installed (No module named 'confluent_kafka'). Install the matching extra to enable it.
INFO:   04:33:51 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:33:51 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:33:51 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/ready$,/healthz$,/metrics$,/readyz$,/livez$,/health$)
INFO:   04:33:52 - uvicorn.error - Started server process [1]
INFO:   04:33:52 - uvicorn.error - Waiting for application startup.
INFO:   04:33:55 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:33:56 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:33:56 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:33:56 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:33:56 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:33:56 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 019ac48c98c19d19127e62d9a66de678
INFO:   04:33:56 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:33:56 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:33:56 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:33:56.564138079 [W:onnxruntime:Default, device_discovery.cc:146 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:33:56 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:33:56,904 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:33:56,906 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:33:56,988 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:33:56,988 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:33:57,078 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:33:57,078 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:33:57 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:33:57 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:33:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  60%|█████▉    | 459/770 [00:00<00:00, 4561.02it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6276.99it/s]
INFO:   04:33:57 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:33:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:33:58 - uvicorn.error - Application startup complete.
INFO:   04:33:58 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:33:59 - docling_serve.app - Health check requested
INFO:   04:33:59 - uvicorn.access - 172.17.0.1:52930 - "GET /health HTTP/1.1" 200
INFO:   04:33:59 - docling_serve.app - Health check requested
INFO:   04:33:59 - uvicorn.access - 172.17.0.1:52932 - "GET /health HTTP/1.1" 200
INFO:   04:33:59 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:33:59 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:33:59 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:33:59 - docling_serve.app - [TENANT_ID] Task 586ad673-fdfb-4e54-a957-f32c6efb56c6 created with tenant_id='default'
INFO:   04:33:59 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 586ad673-fdfb-4e54-a957-f32c6efb56c6
INFO:   04:33:59 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:33:59 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 6b5aa9d49bf5933a22591c3559b94bfd
INFO:   04:33:59 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:33:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:33:59,332 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:33:59,332 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:33:59,436 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:33:59,437 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:33:59,520 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:33:59,520 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:33:59 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:33:59 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:33:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  61%|██████    | 467/770 [00:00<00:00, 4668.09it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4620.43it/s]
INFO:   04:34:00 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:34:00 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:34:01 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:34:01 - docling.document_converter - Going to convert document batch...
INFO:   04:34:01 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 6b5aa9d49bf5933a22591c3559b94bfd
INFO:   04:34:01 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:34:01 - docling.document_converter - Finished converting document file in 0.64 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:645: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:34:01 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:34:01 - docling_jobkit.convert.results - Processed 1 docs in 0.75 seconds.
INFO:   04:34:01 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 586ad673-fdfb-4e54-a957-f32c6efb56c6 in 0.75 seconds
INFO:   04:34:03 - uvicorn.access - 172.17.0.1:52932 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:34:03 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:34:03 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:34:03 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:34:03 - docling_serve.app - [TENANT_ID] Task 18459cfc-f5bf-4141-a100-743079b30224 created with tenant_id='default'
INFO:   04:34:03 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 18459cfc-f5bf-4141-a100-743079b30224
INFO:   04:34:03 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:34:03 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 6b5aa9d49bf5933a22591c3559b94bfd
INFO:   04:34:03 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:34:03 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:34:03,410 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:34:03,410 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:34:03,513 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:34:03,513 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:34:03,595 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:34:03,595 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:34:03 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:34:03 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:34:03 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  59%|█████▉    | 457/770 [00:00<00:00, 4379.36it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6619.46it/s]
INFO:   04:34:04 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:34:04 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:34:05 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:34:05 - docling.document_converter - Going to convert document batch...
INFO:   04:34:05 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 6b5aa9d49bf5933a22591c3559b94bfd
INFO:   04:34:05 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:34:05 - docling.document_converter - Finished converting document file in 0.57 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:645: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:34:05 - docling_jobkit.convert.results - Processed 1 docs in 0.57 seconds.
INFO:   04:34:05 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 18459cfc-f5bf-4141-a100-743079b30224 in 0.57 seconds
INFO:   04:34:07 - uvicorn.access - 172.17.0.1:52932 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:34:07 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:34:07 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:34:07 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:34:07 - docling_serve.app - [TENANT_ID] Task 7d1d5dba-022e-4320-8f9c-ba961b86d4d6 created with tenant_id='default'
INFO:   04:34:07 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 7d1d5dba-022e-4320-8f9c-ba961b86d4d6
INFO:   04:34:07 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:34:07 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 345bf8d309571831952bb6d347d0f005
INFO:   04:34:07 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:34:07 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:34:07,423 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:34:07,423 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:34:07,474 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:34:07,474 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:34:07,519 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:34:07,519 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:34:07 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:34:07 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:34:07 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  61%|██████    | 469/770 [00:00<00:00, 4679.22it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5197.03it/s]
INFO:   04:34:08 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:34:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:34:09 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:34:09 - docling.document_converter - Going to convert document batch...
INFO:   04:34:09 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 345bf8d309571831952bb6d347d0f005
INFO:   04:34:09 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:34:09 - docling.document_converter - Finished converting document file in 0.46 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:645: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:34:09 - docling_jobkit.convert.results - Processed 1 docs in 0.49 seconds.
INFO:   04:34:09 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 7d1d5dba-022e-4320-8f9c-ba961b86d4d6 in 0.49 seconds
INFO:   04:34:11 - uvicorn.access - 172.17.0.1:52932 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:34:11 - uvicorn.access - 172.17.0.1:52932 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:34:11 - uvicorn.access - 172.17.0.1:52932 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.31.0

Click to expand

###### Message

Click to collapse

Tag v1.31.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:32:03 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:32:03 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:32:03 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:32:04 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointSourceProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:32:04 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:32:04 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   04:32:04 - docling_jobkit.connectors.plugins.defaults - Connector 'AstraDBTargetProcessor' skipped — optional dependency not installed (No module named 'astrapy'). Install the matching extra to enable it.
INFO:   04:32:04 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointTargetProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:32:04 - docling_jobkit.connectors.plugins.defaults - Connector 'KafkaTargetProcessor' skipped — optional dependency not installed (No module named 'confluent_kafka'). Install the matching extra to enable it.
INFO:   04:32:04 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:32:04 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:32:04 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/ready$,/health$,/metrics$,/livez$,/healthz$,/readyz$)
INFO:   04:32:04 - uvicorn.error - Started server process [1]
INFO:   04:32:04 - uvicorn.error - Waiting for application startup.
INFO:   04:32:07 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:32:08 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:32:08 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:32:08 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:32:08 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:32:08 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 9d06178a9f1c8aeb9889d1e46440f3fa
INFO:   04:32:08 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:32:08 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:32:08 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:32:08.390402008 [W:onnxruntime:Default, device_discovery.cc:146 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:32:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:32:08,646 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:08,648 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:32:08,700 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:08,701 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:32:08,765 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:08,766 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:32:08 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:32:08 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:32:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  63%|██████▎   | 483/770 [00:00<00:00, 4822.81it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4817.41it/s]
INFO:   04:32:09 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:32:09 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:32:10 - uvicorn.error - Application startup complete.
INFO:   04:32:10 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:32:10 - docling_serve.app - Health check requested
INFO:   04:32:10 - uvicorn.access - 172.17.0.1:46948 - "GET /health HTTP/1.1" 200
INFO:   04:32:10 - docling_serve.app - Health check requested
INFO:   04:32:10 - uvicorn.access - 172.17.0.1:46956 - "GET /health HTTP/1.1" 200
INFO:   04:32:10 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:32:10 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:32:10 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:32:10 - docling_serve.app - [TENANT_ID] Task 981d9bc4-fe6c-4e67-9180-031177aee1b6 created with tenant_id='default'
INFO:   04:32:10 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 981d9bc4-fe6c-4e67-9180-031177aee1b6
INFO:   04:32:10 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:32:10 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a1d02772fb798c5f3e06aa82e0d32e7d
INFO:   04:32:10 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:32:10 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:32:10,626 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:10,627 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:32:10,681 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:10,682 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:32:10,723 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:10,723 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:32:10 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:32:10 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:32:10 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  59%|█████▊    | 452/770 [00:00<00:00, 4518.64it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4610.97it/s]
INFO:   04:32:11 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:32:11 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:32:11 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:32:12 - docling.document_converter - Going to convert document batch...
INFO:   04:32:12 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash a1d02772fb798c5f3e06aa82e0d32e7d
INFO:   04:32:12 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:32:12 - docling.document_converter - Finished converting document file in 0.56 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:641: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:32:12 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:32:12 - docling_jobkit.convert.results - Processed 1 docs in 0.63 seconds.
INFO:   04:32:12 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 981d9bc4-fe6c-4e67-9180-031177aee1b6 in 0.63 seconds
INFO:   04:32:12 - uvicorn.access - 172.17.0.1:46956 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:32:12 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:32:12 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:32:12 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:32:12 - docling_serve.app - [TENANT_ID] Task 53fc9194-92ef-4a27-84fd-c97439f800b3 created with tenant_id='default'
INFO:   04:32:12 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 53fc9194-92ef-4a27-84fd-c97439f800b3
INFO:   04:32:12 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:32:12 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a1d02772fb798c5f3e06aa82e0d32e7d
INFO:   04:32:12 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:32:12 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:32:12,662 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:12,662 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:32:12,737 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:12,737 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:32:12,781 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:12,781 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:32:12 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:32:12 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:32:12 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  62%|██████▏   | 479/770 [00:00<00:00, 4784.89it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4869.11it/s]
INFO:   04:32:13 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:32:13 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:32:14 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:32:14 - docling.document_converter - Going to convert document batch...
INFO:   04:32:14 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash a1d02772fb798c5f3e06aa82e0d32e7d
INFO:   04:32:14 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:32:14 - docling.document_converter - Finished converting document file in 0.51 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:641: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:32:14 - docling_jobkit.convert.results - Processed 1 docs in 0.52 seconds.
INFO:   04:32:14 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 53fc9194-92ef-4a27-84fd-c97439f800b3 in 0.52 seconds
INFO:   04:32:14 - uvicorn.access - 172.17.0.1:46956 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:32:14 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:32:14 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:32:14 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:32:14 - docling_serve.app - [TENANT_ID] Task ce1b6b1f-e175-4a10-8717-c42edfbf2e20 created with tenant_id='default'
INFO:   04:32:14 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task ce1b6b1f-e175-4a10-8717-c42edfbf2e20
INFO:   04:32:14 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:32:14 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 21c1cdafbd5b48f9b0cfcb806e9e9d57
INFO:   04:32:14 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:32:14 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:32:14,681 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:14,681 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:32:14,732 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:14,733 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:32:14,789 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:32:14,789 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:32:14 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:32:14 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:32:14 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  63%|██████▎   | 486/770 [00:00<00:00, 4797.27it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4924.11it/s]
INFO:   04:32:15 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:32:15 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:32:15 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:32:15 - docling.document_converter - Going to convert document batch...
INFO:   04:32:15 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 21c1cdafbd5b48f9b0cfcb806e9e9d57
INFO:   04:32:15 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:32:15 - docling.document_converter - Finished converting document file in 0.36 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:641: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:32:16 - docling_jobkit.convert.results - Processed 1 docs in 0.41 seconds.
INFO:   04:32:16 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job ce1b6b1f-e175-4a10-8717-c42edfbf2e20 in 0.41 seconds
INFO:   04:32:16 - uvicorn.access - 172.17.0.1:46956 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:32:16 - uvicorn.access - 172.17.0.1:46956 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:32:16 - uvicorn.access - 172.17.0.1:46956 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.30.0

Click to expand

###### Message

Click to collapse

Tag v1.30.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:30:45 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:30:45 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:30:45 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:30:46 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointSourceProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:30:46 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:30:46 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   04:30:46 - docling_jobkit.connectors.plugins.defaults - Connector 'AstraDBTargetProcessor' skipped — optional dependency not installed (No module named 'astrapy'). Install the matching extra to enable it.
INFO:   04:30:46 - docling_jobkit.connectors.plugins.defaults - Connector 'SharePointTargetProcessor' skipped — optional dependency not installed (No module named 'office365'). Install the matching extra to enable it.
INFO:   04:30:46 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:30:46 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:30:46 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/healthz$,/readyz$,/ready$,/metrics$,/livez$,/health$)
INFO:   04:30:47 - uvicorn.error - Started server process [1]
INFO:   04:30:47 - uvicorn.error - Waiting for application startup.
INFO:   04:30:50 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:30:51 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:30:51 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:30:51 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:30:51 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:30:51 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash e2db689ab35ca52a08b5b7fa25de8cc8
INFO:   04:30:51 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:30:51 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:30:51 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:30:51.530387931 [W:onnxruntime:Default, device_discovery.cc:134 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:30:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:30:51,880 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:30:51,882 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:30:52,000 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:30:52,001 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:30:52,111 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:30:52,111 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:30:52 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:30:52 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:30:52 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[transformers] `torch_dtype` is deprecated! Use `dtype` instead!

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  61%|██████    | 470/770 [00:00<00:00, 4676.08it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4738.55it/s]
INFO:   04:30:55 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:30:55 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:30:56 - uvicorn.error - Application startup complete.
INFO:   04:30:56 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:30:57 - docling_serve.app - Health check requested
INFO:   04:30:57 - uvicorn.access - 172.17.0.1:42822 - "GET /health HTTP/1.1" 200
INFO:   04:30:57 - docling_serve.app - Health check requested
INFO:   04:30:57 - uvicorn.access - 172.17.0.1:42826 - "GET /health HTTP/1.1" 200
INFO:   04:30:57 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:30:57 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:30:57 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:30:57 - docling_serve.app - [TENANT_ID] Task 0b8c79be-2eae-4eb3-9100-abb2aafe30cd created with tenant_id='default'
INFO:   04:30:57 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 0b8c79be-2eae-4eb3-9100-abb2aafe30cd
INFO:   04:30:57 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:30:57 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 5cd3e3811d2e4d7d996fcfcbbe327b1d
INFO:   04:30:57 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:30:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:30:57,269 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:30:57,270 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:30:57,369 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:30:57,369 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:30:57,516 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:30:57,516 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:30:57 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:30:57 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:30:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▌   | 508/770 [00:00<00:00, 5062.08it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5018.00it/s]
INFO:   04:30:58 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:30:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:30:59 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:30:59 - docling.document_converter - Going to convert document batch...
INFO:   04:30:59 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 5cd3e3811d2e4d7d996fcfcbbe327b1d
INFO:   04:30:59 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:30:59 - docling.document_converter - Finished converting document file in 0.75 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:635: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:30:59 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:30:59 - docling_jobkit.convert.results - Processed 1 docs in 0.88 seconds.
INFO:   04:30:59 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 0b8c79be-2eae-4eb3-9100-abb2aafe30cd in 0.88 seconds
INFO:   04:31:01 - uvicorn.access - 172.17.0.1:42826 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:31:01 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:31:01 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:31:01 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:31:01 - docling_serve.app - [TENANT_ID] Task 6c803198-c59a-4c92-86f1-b450db20a857 created with tenant_id='default'
INFO:   04:31:01 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 6c803198-c59a-4c92-86f1-b450db20a857
INFO:   04:31:01 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:31:01 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 5cd3e3811d2e4d7d996fcfcbbe327b1d
INFO:   04:31:01 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:31:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:31:01,282 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:31:01,283 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:31:01,393 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:31:01,393 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:31:01,435 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:31:01,435 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:31:01 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:31:01 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:31:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 519/770 [00:00<00:00, 5178.20it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5659.32it/s]
INFO:   04:31:02 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:31:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:31:03 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:31:03 - docling.document_converter - Going to convert document batch...
INFO:   04:31:03 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 5cd3e3811d2e4d7d996fcfcbbe327b1d
INFO:   04:31:03 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:31:03 - docling.document_converter - Finished converting document file in 0.45 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:635: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:31:03 - docling_jobkit.convert.results - Processed 1 docs in 0.46 seconds.
INFO:   04:31:03 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 6c803198-c59a-4c92-86f1-b450db20a857 in 0.46 seconds
INFO:   04:31:05 - uvicorn.access - 172.17.0.1:42826 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:31:05 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:31:05 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:31:05 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:31:05 - docling_serve.app - [TENANT_ID] Task d5b186a1-5f8b-4594-849e-4c8b3957a633 created with tenant_id='default'
INFO:   04:31:05 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task d5b186a1-5f8b-4594-849e-4c8b3957a633
INFO:   04:31:05 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:31:05 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 9df8df3fc03c33cf6e8bd583e67dce64
INFO:   04:31:05 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:31:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:31:05,295 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:31:05,295 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:31:05,356 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:31:05,357 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:31:05,494 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:31:05,495 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/PP-OCRv6_rec_small.onnx
INFO:   04:31:05 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:31:05 - docling.models.inference_engines.object_detection.transformers_engine - Initializing Transformers object-detection engine
INFO:   04:31:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  70%|██████▉   | 536/770 [00:00<00:00, 5322.43it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5295.00it/s]
INFO:   04:31:06 - docling.models.inference_engines.object_detection.transformers_engine - Transformers engine ready (device=cpu, dtype=torch.float32)
INFO:   04:31:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:31:07 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:31:07 - docling.document_converter - Going to convert document batch...
INFO:   04:31:07 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 9df8df3fc03c33cf6e8bd583e67dce64
INFO:   04:31:07 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:31:07 - docling.document_converter - Finished converting document file in 0.54 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:635: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:31:07 - docling_jobkit.convert.results - Processed 1 docs in 0.58 seconds.
INFO:   04:31:07 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job d5b186a1-5f8b-4594-849e-4c8b3957a633 in 0.58 seconds
INFO:   04:31:09 - uvicorn.access - 172.17.0.1:42826 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:31:09 - uvicorn.access - 172.17.0.1:42826 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:31:09 - uvicorn.access - 172.17.0.1:42826 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.29.0

Click to expand

###### Message

Click to collapse

Tag v1.29.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:29:03 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:29:03 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:29:03 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:29:04 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:29:04 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   04:29:04 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:29:04 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:29:04 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/readyz$,/health$,/healthz$,/livez$,/metrics$,/ready$)
INFO:   04:29:04 - uvicorn.error - Started server process [1]
INFO:   04:29:04 - uvicorn.error - Waiting for application startup.
INFO:   04:29:07 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:29:07 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:29:07 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:29:07 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:29:07 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:29:07 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash caff667a02b7f037838d32d34acfe0b0
INFO:   04:29:07 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:29:07 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:29:07 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:29:07.784563311 [W:onnxruntime:Default, device_discovery.cc:134 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:29:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:29:08,047 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:08,049 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:29:08,100 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:08,101 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:29:08,150 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:08,150 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:29:08 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:29:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  64%|██████▍   | 491/770 [00:00<00:00, 4906.31it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4935.88it/s]
INFO:   04:29:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:29:09 - uvicorn.error - Application startup complete.
INFO:   04:29:09 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:29:09 - docling_serve.app - Health check requested
INFO:   04:29:09 - uvicorn.access - 172.17.0.1:47816 - "GET /health HTTP/1.1" 200
INFO:   04:29:09 - docling_serve.app - Health check requested
INFO:   04:29:09 - uvicorn.access - 172.17.0.1:47832 - "GET /health HTTP/1.1" 200
INFO:   04:29:09 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:29:09 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:29:09 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:29:09 - docling_serve.app - [TENANT_ID] Task 31de2c40-415a-4c76-8a55-4c4a5b020eb1 created with tenant_id='default'
INFO:   04:29:09 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 31de2c40-415a-4c76-8a55-4c4a5b020eb1
INFO:   04:29:09 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:29:09 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash ab12ef348c8fc273bf2be7a49773b303
INFO:   04:29:09 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:29:09 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:29:09,728 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:09,728 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:29:09,807 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:09,807 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:29:09,847 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:09,847 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:29:09 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:29:09 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▍   | 499/770 [00:00<00:00, 4981.06it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4972.60it/s]
INFO:   04:29:10 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:29:11 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:29:11 - docling.document_converter - Going to convert document batch...
INFO:   04:29:11 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:29:11 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:29:11 - docling.document_converter - Finished converting document file in 0.51 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:632: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:29:11 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:29:11 - docling_jobkit.convert.results - Processed 1 docs in 0.58 seconds.
INFO:   04:29:11 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 31de2c40-415a-4c76-8a55-4c4a5b020eb1 in 0.58 seconds
INFO:   04:29:11 - uvicorn.access - 172.17.0.1:47832 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:29:11 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:29:11 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:29:11 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:29:11 - docling_serve.app - [TENANT_ID] Task 503b2177-fbf5-42db-909d-73af071d3746 created with tenant_id='default'
INFO:   04:29:11 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 503b2177-fbf5-42db-909d-73af071d3746
INFO:   04:29:11 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:29:11 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash ab12ef348c8fc273bf2be7a49773b303
INFO:   04:29:11 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:29:11 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:29:11,750 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:11,750 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:29:11,802 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:11,802 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:29:11,846 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:11,847 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:29:11 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:29:11 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  69%|██████▉   | 532/770 [00:00<00:00, 5273.98it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5211.38it/s]
INFO:   04:29:12 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:29:13 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:29:13 - docling.document_converter - Going to convert document batch...
INFO:   04:29:13 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:29:13 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:29:13 - docling.document_converter - Finished converting document file in 0.47 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:632: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:29:13 - docling_jobkit.convert.results - Processed 1 docs in 0.48 seconds.
INFO:   04:29:13 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 503b2177-fbf5-42db-909d-73af071d3746 in 0.48 seconds
INFO:   04:29:13 - uvicorn.access - 172.17.0.1:47832 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:29:13 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:29:13 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:29:13 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:29:13 - docling_serve.app - [TENANT_ID] Task cca403db-9ee8-4298-bf29-725ddf6ea537 created with tenant_id='default'
INFO:   04:29:13 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task cca403db-9ee8-4298-bf29-725ddf6ea537
INFO:   04:29:13 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:29:13 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash b3849eabdc7ecae5f3d54428a0162342
INFO:   04:29:13 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:29:13 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:29:13,760 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:13,760 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:29:13,818 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:13,819 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:29:13,863 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:29:13,863 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:29:13 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:29:13 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  68%|██████▊   | 523/770 [00:00<00:00, 5226.98it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5166.85it/s]
INFO:   04:29:14 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:29:14 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:29:14 - docling.document_converter - Going to convert document batch...
INFO:   04:29:14 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:29:14 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:29:15 - docling.document_converter - Finished converting document file in 0.34 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:632: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:29:15 - docling_jobkit.convert.results - Processed 1 docs in 0.38 seconds.
INFO:   04:29:15 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job cca403db-9ee8-4298-bf29-725ddf6ea537 in 0.38 seconds
INFO:   04:29:15 - uvicorn.access - 172.17.0.1:47832 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:29:15 - uvicorn.access - 172.17.0.1:47832 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:29:15 - uvicorn.access - 172.17.0.1:47832 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.28.0

Click to expand

###### Message

Click to collapse

Tag v1.28.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:27:50 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:27:50 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:27:50 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:27:51 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   04:27:51 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:27:51 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:27:51 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/metrics$,/livez$,/healthz$,/readyz$,/health$,/ready$)
INFO:   04:27:51 - uvicorn.error - Started server process [1]
INFO:   04:27:51 - uvicorn.error - Waiting for application startup.
INFO:   04:27:57 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:27:57 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:27:57 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:27:57 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:27:57 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:27:57 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 118619a1d3ed3b201b814dac997d6742
INFO:   04:27:57 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:27:57 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:27:57 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:27:57.866052233 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:27:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:27:58,257 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:27:58,259 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:27:58,407 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:27:58,407 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:27:58,496 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:27:58,496 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:27:58 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:27:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  43%|████▎     | 332/770 [00:00<00:00, 3293.95it/s]
Loading weights:  86%|████████▌ | 662/770 [00:00<00:00, 2863.26it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 3256.71it/s]
INFO:   04:27:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:28:01 - uvicorn.error - Application startup complete.
INFO:   04:28:01 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:28:02 - docling_serve.app - Health check requested
INFO:   04:28:02 - uvicorn.access - 172.17.0.1:55736 - "GET /health HTTP/1.1" 200
INFO:   04:28:02 - docling_serve.app - Health check requested
INFO:   04:28:02 - uvicorn.access - 172.17.0.1:55750 - "GET /health HTTP/1.1" 200
INFO:   04:28:02 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:28:02 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:28:02 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:28:02 - docling_serve.app - [TENANT_ID] Task 04d1771c-c43e-4a97-82ac-8fe868815918 created with tenant_id='default'
INFO:   04:28:02 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 04d1771c-c43e-4a97-82ac-8fe868815918
INFO:   04:28:02 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:28:02 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   04:28:02 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:28:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:28:02,364 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:02,365 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:28:02,453 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:02,454 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:28:02,509 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:02,509 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:28:02 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:28:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 514/770 [00:00<00:00, 5136.60it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5216.39it/s]
INFO:   04:28:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:28:04 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:28:04 - docling.document_converter - Going to convert document batch...
INFO:   04:28:04 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:28:04 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:28:04 - docling.document_converter - Finished converting document file in 0.63 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:611: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:28:04 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:28:04 - docling_jobkit.convert.results - Processed 1 docs in 0.75 seconds.
INFO:   04:28:04 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 04d1771c-c43e-4a97-82ac-8fe868815918 in 0.75 seconds
INFO:   04:28:06 - uvicorn.access - 172.17.0.1:55750 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:28:06 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:28:06 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:28:06 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:28:06 - docling_serve.app - [TENANT_ID] Task 9ed82124-b06d-438d-83d8-40a20a21b43c created with tenant_id='default'
INFO:   04:28:06 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 9ed82124-b06d-438d-83d8-40a20a21b43c
INFO:   04:28:06 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:28:06 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   04:28:06 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:28:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:28:06,410 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:06,410 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:28:06,468 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:06,468 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:28:06,547 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:06,547 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:28:06 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:28:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  70%|██████▉   | 536/770 [00:00<00:00, 5285.80it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5245.30it/s]
INFO:   04:28:07 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:28:08 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:28:08 - docling.document_converter - Going to convert document batch...
INFO:   04:28:08 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:28:08 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:28:08 - docling.document_converter - Finished converting document file in 0.57 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:611: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:28:08 - docling_jobkit.convert.results - Processed 1 docs in 0.58 seconds.
INFO:   04:28:08 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 9ed82124-b06d-438d-83d8-40a20a21b43c in 0.58 seconds
INFO:   04:28:08 - uvicorn.access - 172.17.0.1:55750 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:28:08 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:28:08 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:28:08 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:28:08 - docling_serve.app - [TENANT_ID] Task 9f068d41-1379-4b27-bf3f-d99ec5c830bb created with tenant_id='default'
INFO:   04:28:08 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 9f068d41-1379-4b27-bf3f-d99ec5c830bb
INFO:   04:28:08 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:28:08 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 528ff53b5cc66cd5f7f61ef2cd72a8fc
INFO:   04:28:08 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:28:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:28:08,437 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:08,437 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:28:08,502 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:08,503 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:28:08,627 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:28:08,627 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:28:08 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:28:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▌   | 502/770 [00:00<00:00, 4985.27it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5094.12it/s]
INFO:   04:28:09 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:28:10 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:28:10 - docling.document_converter - Going to convert document batch...
INFO:   04:28:10 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:28:10 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:28:10 - docling.document_converter - Finished converting document file in 0.44 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:611: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:28:10 - docling_jobkit.convert.results - Processed 1 docs in 0.50 seconds.
INFO:   04:28:10 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 9f068d41-1379-4b27-bf3f-d99ec5c830bb in 0.50 seconds
INFO:   04:28:12 - uvicorn.access - 172.17.0.1:55750 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:28:12 - uvicorn.access - 172.17.0.1:55750 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:28:12 - uvicorn.access - 172.17.0.1:55750 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.27.0

Click to expand

###### Message

Click to collapse

Tag v1.27.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:25:57 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:25:57 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:25:57 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:25:57 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:25:57 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/health$,/readyz$,/livez$,/healthz$,/metrics$,/ready$)
INFO:   04:25:58 - uvicorn.error - Started server process [1]
INFO:   04:25:58 - uvicorn.error - Waiting for application startup.
INFO:   04:26:01 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:26:01 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:26:01 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:26:01 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:26:01 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:26:01 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 118619a1d3ed3b201b814dac997d6742
INFO:   04:26:01 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:26:01 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:26:01 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:26:01.743069118 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:26:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:26:02,005 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:02,007 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:26:02,064 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:02,064 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:26:02,115 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:02,115 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:26:02 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:26:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 517/770 [00:00<00:00, 5148.63it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5200.98it/s]
INFO:   04:26:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:26:03 - uvicorn.error - Application startup complete.
INFO:   04:26:03 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:26:03 - docling_serve.app - Health check requested
INFO:   04:26:03 - uvicorn.access - 172.17.0.1:37924 - "GET /health HTTP/1.1" 200
INFO:   04:26:03 - docling_serve.app - Health check requested
INFO:   04:26:03 - uvicorn.access - 172.17.0.1:37940 - "GET /health HTTP/1.1" 200
INFO:   04:26:03 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:26:03 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:26:03 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:26:03 - docling_serve.app - [TENANT_ID] Task 662f6a73-c439-4aca-a81e-3d8019d8dcf4 created with tenant_id='default'
INFO:   04:26:03 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 662f6a73-c439-4aca-a81e-3d8019d8dcf4
INFO:   04:26:03 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:26:03 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   04:26:03 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:26:03 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:26:03,879 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:03,880 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:26:03,939 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:03,940 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:26:03,988 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:03,988 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:26:04 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:26:04 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 514/770 [00:00<00:00, 5137.08it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5097.37it/s]
INFO:   04:26:04 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:26:05 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:26:05 - docling.document_converter - Going to convert document batch...
INFO:   04:26:05 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:26:05 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:26:05 - docling.document_converter - Finished converting document file in 0.38 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:588: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:26:05 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:26:05 - docling_jobkit.convert.results - Processed 1 docs in 0.46 seconds.
INFO:   04:26:05 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 662f6a73-c439-4aca-a81e-3d8019d8dcf4 in 0.46 seconds
INFO:   04:26:05 - uvicorn.access - 172.17.0.1:37940 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:26:05 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:26:05 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:26:05 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:26:05 - docling_serve.app - [TENANT_ID] Task 7d4e5e9b-05ce-4e60-855d-05430148041b created with tenant_id='default'
INFO:   04:26:05 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 7d4e5e9b-05ce-4e60-855d-05430148041b
INFO:   04:26:05 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:26:05 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   04:26:05 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:26:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:26:05,893 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:05,893 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:26:05,945 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:05,946 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:26:06,010 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:06,011 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:26:06 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:26:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▌   | 504/770 [00:00<00:00, 5018.93it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5156.84it/s]
INFO:   04:26:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:26:07 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:26:07 - docling.document_converter - Going to convert document batch...
INFO:   04:26:07 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:26:07 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:26:07 - docling.document_converter - Finished converting document file in 0.35 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:588: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:26:07 - docling_jobkit.convert.results - Processed 1 docs in 0.35 seconds.
INFO:   04:26:07 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 7d4e5e9b-05ce-4e60-855d-05430148041b in 0.35 seconds
INFO:   04:26:07 - uvicorn.access - 172.17.0.1:37940 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:26:07 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:26:07 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:26:07 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:26:07 - docling_serve.app - [TENANT_ID] Task 8c09d3e9-ff99-426f-a2a4-a58d72079a4c created with tenant_id='default'
INFO:   04:26:07 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 8c09d3e9-ff99-426f-a2a4-a58d72079a4c
INFO:   04:26:07 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:26:07 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 528ff53b5cc66cd5f7f61ef2cd72a8fc
INFO:   04:26:07 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:26:07 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:26:07,913 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:07,913 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-09-21 04:26:07,963 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:07,964 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:26:08,034 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:26:08,035 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   04:26:08 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:26:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 513/770 [00:00<00:00, 5106.90it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5081.06it/s]
INFO:   04:26:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:26:09 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:26:09 - docling.document_converter - Going to convert document batch...
INFO:   04:26:09 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:26:09 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:26:09 - docling.document_converter - Finished converting document file in 0.36 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:588: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:26:09 - docling_jobkit.convert.results - Processed 1 docs in 0.40 seconds.
INFO:   04:26:09 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 8c09d3e9-ff99-426f-a2a4-a58d72079a4c in 0.40 seconds
INFO:   04:26:09 - uvicorn.access - 172.17.0.1:37940 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:26:10 - uvicorn.access - 172.17.0.1:37940 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:26:10 - uvicorn.access - 172.17.0.1:37940 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.26.0

Click to expand

###### Message

Click to collapse

Tag v1.26.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:24:26 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:24:26 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:24:26 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:24:26 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:24:26 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/readyz$,/healthz$,/ready$,/metrics$,/livez$,/health$)
INFO:   04:24:27 - uvicorn.error - Started server process [1]
INFO:   04:24:27 - uvicorn.error - Waiting for application startup.
INFO:   04:24:30 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:24:30 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:24:30 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:24:30 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:24:30 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:24:30 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c4d6547d10e26a777a530d63ca01a1a1
INFO:   04:24:30 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:24:30 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   04:24:30 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-09-21 04:24:30.704712991 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:24:30 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:24:30,934 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:30,935 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:24:31,035 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:31,036 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:24:31,082 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:31,082 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:24:31 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:24:31 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  68%|██████▊   | 527/770 [00:00<00:00, 5243.53it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5215.51it/s]
INFO:   04:24:31 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:24:32 - uvicorn.error - Application startup complete.
INFO:   04:24:32 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:24:32 - docling_serve.app - Health check requested
INFO:   04:24:32 - uvicorn.access - 172.17.0.1:45764 - "GET /health HTTP/1.1" 200
INFO:   04:24:32 - docling_serve.app - Health check requested
INFO:   04:24:32 - uvicorn.access - 172.17.0.1:45778 - "GET /health HTTP/1.1" 200
INFO:   04:24:32 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:24:32 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:24:32 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:24:32 - docling_serve.app - [TENANT_ID] Task 8d8ba594-1513-4f80-9070-65fce245d199 created with tenant_id='default'
INFO:   04:24:32 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 8d8ba594-1513-4f80-9070-65fce245d199
INFO:   04:24:32 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:24:32 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 4ef9920c0fc80ed745870d6025fc17ac
INFO:   04:24:32 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:24:32 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:24:32,653 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:32,653 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:24:32,757 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:32,757 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:24:32,803 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:32,803 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:24:32 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:24:32 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  69%|██████▉   | 533/770 [00:00<00:00, 5285.41it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5149.67it/s]
INFO:   04:24:33 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:24:33 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:24:34 - docling.document_converter - Going to convert document batch...
INFO:   04:24:34 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:24:34 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:24:34 - docling.document_converter - Finished converting document file in 0.50 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:556: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
WARNING:    04:24:34 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:24:34 - docling_jobkit.convert.results - Processed 1 docs in 0.58 seconds.
INFO:   04:24:34 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 8d8ba594-1513-4f80-9070-65fce245d199 in 0.58 seconds
INFO:   04:24:34 - uvicorn.access - 172.17.0.1:45778 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:24:34 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:24:34 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:24:34 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:24:34 - docling_serve.app - [TENANT_ID] Task 83c63c64-3c1e-4638-9c8e-d74031eee37d created with tenant_id='default'
INFO:   04:24:34 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 83c63c64-3c1e-4638-9c8e-d74031eee37d
INFO:   04:24:34 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:24:34 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 4ef9920c0fc80ed745870d6025fc17ac
INFO:   04:24:34 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:24:34 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:24:34,678 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:34,678 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:24:34,792 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:34,792 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:24:34,851 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:34,851 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:24:34 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:24:34 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▋   | 511/770 [00:00<00:00, 5036.98it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5138.57it/s]
INFO:   04:24:35 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:24:36 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:24:36 - docling.document_converter - Going to convert document batch...
INFO:   04:24:36 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:24:36 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:24:36 - docling.document_converter - Finished converting document file in 0.79 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:556: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:24:36 - docling_jobkit.convert.results - Processed 1 docs in 0.79 seconds.
INFO:   04:24:36 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 83c63c64-3c1e-4638-9c8e-d74031eee37d in 0.79 seconds
INFO:   04:24:36 - uvicorn.access - 172.17.0.1:45778 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:24:36 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:24:36 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:24:36 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:24:36 - docling_serve.app - [TENANT_ID] Task 6ec353fc-9c4a-43e4-81d0-3963c4e1a084 created with tenant_id='default'
INFO:   04:24:36 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 6ec353fc-9c4a-43e4-81d0-3963c4e1a084
INFO:   04:24:36 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:24:36 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 63e8839d1103b03d45382915dba33c89
INFO:   04:24:36 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   04:24:36 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:24:36,713 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:36,713 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:24:36,816 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:36,816 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:24:36,864 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:24:36,864 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:24:36 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:24:36 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  70%|███████   | 539/770 [00:00<00:00, 5387.22it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5223.29it/s]
INFO:   04:24:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:24:37 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:24:38 - docling.document_converter - Going to convert document batch...
INFO:   04:24:38 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:24:38 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:24:38 - docling.document_converter - Finished converting document file in 0.47 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py:556: RuntimeWarning: Mean of empty slice
  np.nanmean(
/opt/app-root/lib64/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1573: RuntimeWarning: All-NaN slice encountered
  return _nanquantile_unchecked(
INFO:   04:24:38 - docling_jobkit.convert.results - Processed 1 docs in 0.51 seconds.
INFO:   04:24:38 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 6ec353fc-9c4a-43e4-81d0-3963c4e1a084 in 0.51 seconds
INFO:   04:24:38 - uvicorn.access - 172.17.0.1:45778 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:24:38 - uvicorn.access - 172.17.0.1:45778 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:24:38 - uvicorn.access - 172.17.0.1:45778 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.25.0

Click to expand

###### Message

Click to collapse

Tag v1.25.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:23:08 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:23:08 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:23:08 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:23:08 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:23:08 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/ready$,/health$,/healthz$,/readyz$,/livez$,/metrics$)
INFO:   04:23:08 - uvicorn.error - Started server process [1]
INFO:   04:23:08 - uvicorn.error - Waiting for application startup.
INFO:   04:23:14 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:23:14 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:23:14 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:23:14 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:23:14 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:23:14 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash f446dcc5a1a7c6aff458e30cab474a9e
INFO:   04:23:14 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:23:14 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-09-21 04:23:14.900228210 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:23:15 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:23:15,365 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:15,367 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:23:15,533 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:15,534 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:23:15,619 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:15,619 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:23:15 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:23:15 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  44%|████▍     | 341/770 [00:00<00:00, 3340.95it/s]
Loading weights:  88%|████████▊ | 676/770 [00:00<00:00, 961.41it/s] 
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 1176.86it/s]
INFO:   04:23:17 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:23:20 - uvicorn.error - Application startup complete.
INFO:   04:23:20 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:23:21 - docling_serve.app - Health check requested
INFO:   04:23:21 - uvicorn.access - 172.17.0.1:57510 - "GET /health HTTP/1.1" 200
INFO:   04:23:21 - docling_serve.app - Health check requested
INFO:   04:23:21 - uvicorn.access - 172.17.0.1:57512 - "GET /health HTTP/1.1" 200
INFO:   04:23:21 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:23:21 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:23:21 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:23:21 - docling_serve.app - [TENANT_ID] Task 0db4b80d-71f1-40dc-84c3-b56a4bbe6c4f created with tenant_id='default'
INFO:   04:23:21 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 0db4b80d-71f1-40dc-84c3-b56a4bbe6c4f
INFO:   04:23:21 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:23:21 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c639c48e78aacd42b6243acf42ab1c3a
INFO:   04:23:21 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:23:21,660 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:21,660 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:23:21,816 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:21,816 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:23:21,907 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:21,907 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:23:22 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:23:22 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▌   | 503/770 [00:00<00:00, 5013.44it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6506.70it/s]
INFO:   04:23:22 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:23:23 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:23:23 - docling.document_converter - Going to convert document batch...
INFO:   04:23:23 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:23:23 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:23:23 - docling.document_converter - Finished converting document file in 0.72 sec.
WARNING:    04:23:23 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:23:23 - docling_jobkit.convert.results - Processed 1 docs in 0.83 seconds.
INFO:   04:23:23 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 0db4b80d-71f1-40dc-84c3-b56a4bbe6c4f in 0.83 seconds
INFO:   04:23:25 - uvicorn.access - 172.17.0.1:57512 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:23:25 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:23:25 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:23:25 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:23:25 - docling_serve.app - [TENANT_ID] Task c7e5166c-78ed-4834-82ee-e8eec29294d8 created with tenant_id='default'
INFO:   04:23:25 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task c7e5166c-78ed-4834-82ee-e8eec29294d8
INFO:   04:23:25 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:23:25 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c639c48e78aacd42b6243acf42ab1c3a
INFO:   04:23:25 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:23:25,699 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:25,699 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:23:25,865 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:25,865 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:23:25,916 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:25,917 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:23:26 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:23:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  61%|██████    | 470/770 [00:00<00:00, 4691.05it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4730.52it/s]
INFO:   04:23:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:23:27 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:23:27 - docling.document_converter - Going to convert document batch...
INFO:   04:23:27 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:23:27 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:23:28 - docling.document_converter - Finished converting document file in 0.65 sec.
INFO:   04:23:28 - docling_jobkit.convert.results - Processed 1 docs in 0.65 seconds.
INFO:   04:23:28 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job c7e5166c-78ed-4834-82ee-e8eec29294d8 in 0.65 seconds
INFO:   04:23:29 - uvicorn.access - 172.17.0.1:57512 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:23:29 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:23:29 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:23:29 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:23:29 - docling_serve.app - [TENANT_ID] Task 247798bf-1402-49ba-9a23-c6eb6a54d18c created with tenant_id='default'
INFO:   04:23:29 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 247798bf-1402-49ba-9a23-c6eb6a54d18c
INFO:   04:23:29 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:23:29 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash e50b6140ec7ee9be0d0fea6ba20c9795
INFO:   04:23:29 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:23:29,682 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:29,682 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:23:29,832 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:29,832 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:23:29,925 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:23:29,925 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:23:30 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:23:30 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  63%|██████▎   | 482/770 [00:00<00:00, 4818.26it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4911.45it/s]
INFO:   04:23:30 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:23:31 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:23:31 - docling.document_converter - Going to convert document batch...
INFO:   04:23:31 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:23:31 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:23:31 - docling.document_converter - Finished converting document file in 0.43 sec.
INFO:   04:23:31 - docling_jobkit.convert.results - Processed 1 docs in 0.49 seconds.
INFO:   04:23:31 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 247798bf-1402-49ba-9a23-c6eb6a54d18c in 0.49 seconds
INFO:   04:23:31 - uvicorn.access - 172.17.0.1:57512 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:23:31 - uvicorn.access - 172.17.0.1:57512 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:23:31 - uvicorn.access - 172.17.0.1:57512 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.24.0

Click to expand

###### Message

Click to collapse

Tag v1.24.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:21:28 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:21:28 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:21:28 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:21:28 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:21:28 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/livez$,/health$,/ready$,/metrics$,/healthz$,/readyz$)
INFO:   04:21:28 - uvicorn.error - Started server process [1]
INFO:   04:21:28 - uvicorn.error - Waiting for application startup.
INFO:   04:21:32 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:21:32 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:21:32 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:21:32 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:21:32 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:21:32 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 1743cd6dac10356c82ba7dfffff4ed02
INFO:   04:21:32 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:21:32 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-09-21 04:21:32.215245966 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:21:32 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:21:32,526 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:32,527 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:21:32,630 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:32,630 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:21:32,679 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:32,680 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:21:32 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:21:32 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 515/770 [00:00<00:00, 5106.09it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5100.93it/s]
INFO:   04:21:33 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:21:33 - uvicorn.error - Application startup complete.
INFO:   04:21:33 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:21:34 - docling_serve.app - Health check requested
INFO:   04:21:34 - uvicorn.access - 172.17.0.1:56374 - "GET /health HTTP/1.1" 200
INFO:   04:21:34 - docling_serve.app - Health check requested
INFO:   04:21:34 - uvicorn.access - 172.17.0.1:56384 - "GET /health HTTP/1.1" 200
INFO:   04:21:34 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:21:34 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:21:34 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:21:34 - docling_serve.app - [TENANT_ID] Task 6da388e5-c36b-4efb-acd0-a8fba16d65d8 created with tenant_id='default'
INFO:   04:21:34 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 6da388e5-c36b-4efb-acd0-a8fba16d65d8
INFO:   04:21:34 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:21:34 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   04:21:34 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:21:34,763 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:34,763 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:21:34,878 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:34,878 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:21:34,927 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:34,927 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:21:35 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:21:35 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 514/770 [00:00<00:00, 5138.25it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5177.07it/s]
INFO:   04:21:35 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:21:36 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:21:36 - docling.document_converter - Going to convert document batch...
INFO:   04:21:36 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:21:36 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:21:36 - docling.document_converter - Finished converting document file in 0.53 sec.
WARNING:    04:21:36 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:21:36 - docling_jobkit.convert.results - Processed 1 docs in 0.60 seconds.
INFO:   04:21:36 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 6da388e5-c36b-4efb-acd0-a8fba16d65d8 in 0.60 seconds
INFO:   04:21:36 - uvicorn.access - 172.17.0.1:56384 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:21:36 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:21:36 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:21:36 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:21:36 - docling_serve.app - [TENANT_ID] Task 9dcfabb4-5e2b-4f85-811a-fb67e0d30ebf created with tenant_id='default'
INFO:   04:21:36 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 9dcfabb4-5e2b-4f85-811a-fb67e0d30ebf
INFO:   04:21:36 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:21:37 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   04:21:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:21:37,061 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:37,061 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:21:37,166 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:37,166 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:21:37,213 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:37,213 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:21:37 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:21:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▋   | 511/770 [00:00<00:00, 5101.18it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5213.12it/s]
INFO:   04:21:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:21:38 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:21:38 - docling.document_converter - Going to convert document batch...
INFO:   04:21:38 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:21:38 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:21:38 - docling.document_converter - Finished converting document file in 0.47 sec.
INFO:   04:21:38 - docling_jobkit.convert.results - Processed 1 docs in 0.48 seconds.
INFO:   04:21:38 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 9dcfabb4-5e2b-4f85-811a-fb67e0d30ebf in 0.48 seconds
INFO:   04:21:38 - uvicorn.access - 172.17.0.1:56384 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:21:39 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:21:39 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:21:39 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:21:39 - docling_serve.app - [TENANT_ID] Task 30aeef96-6f6d-4a2e-b2bd-c9f515dea9ad created with tenant_id='default'
INFO:   04:21:39 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 30aeef96-6f6d-4a2e-b2bd-c9f515dea9ad
INFO:   04:21:39 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:21:39 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 6102b5a2a09ce02f29b31fc27cc3d04f
INFO:   04:21:39 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:21:39,103 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:39,104 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:21:39,194 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:39,194 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:21:39,262 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:21:39,262 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:21:39 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:21:39 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▌   | 504/770 [00:00<00:00, 5037.21it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5129.27it/s]
INFO:   04:21:39 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:21:40 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:21:40 - docling.document_converter - Going to convert document batch...
INFO:   04:21:40 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:21:40 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:21:40 - docling.document_converter - Finished converting document file in 0.35 sec.
INFO:   04:21:40 - docling_jobkit.convert.results - Processed 1 docs in 0.39 seconds.
INFO:   04:21:40 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 30aeef96-6f6d-4a2e-b2bd-c9f515dea9ad in 0.39 seconds
INFO:   04:21:41 - uvicorn.access - 172.17.0.1:56384 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:21:41 - uvicorn.access - 172.17.0.1:56384 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:21:41 - uvicorn.access - 172.17.0.1:56384 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.23.0

Click to expand

###### Message

Click to collapse

Tag v1.23.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:20:13 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:20:13 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:20:13 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:20:13 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:20:13 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/metrics$,/ready$,/healthz$,/livez$,/health$,/readyz$)
INFO:   04:20:14 - uvicorn.error - Started server process [1]
INFO:   04:20:14 - uvicorn.error - Waiting for application startup.
INFO:   04:20:18 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:20:18 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:20:18 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:20:18 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:20:18 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:20:18 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 1743cd6dac10356c82ba7dfffff4ed02
INFO:   04:20:18 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:20:18 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-09-21 04:20:19.043992225 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:20:19 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:20:19,463 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:19,464 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:20:19,614 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:19,615 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:20:19,689 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:19,690 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:20:19 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:20:19 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  88%|████████▊ | 678/770 [00:00<00:00, 6778.54it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7400.26it/s]
INFO:   04:20:20 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:20:21 - uvicorn.error - Application startup complete.
INFO:   04:20:21 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:20:22 - docling_serve.app - Health check requested
INFO:   04:20:22 - uvicorn.access - 172.17.0.1:37086 - "GET /health HTTP/1.1" 200
INFO:   04:20:22 - docling_serve.app - Health check requested
INFO:   04:20:22 - uvicorn.access - 172.17.0.1:37102 - "GET /health HTTP/1.1" 200
INFO:   04:20:22 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:20:22 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:20:22 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:20:22 - docling_serve.app - [TENANT_ID] Task 69e95517-ebd1-4730-88eb-bc3db4c90e0b created with tenant_id='default'
INFO:   04:20:22 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 69e95517-ebd1-4730-88eb-bc3db4c90e0b
INFO:   04:20:22 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:20:22 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   04:20:22 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:20:22,144 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:22,144 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:20:22,279 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:22,280 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:20:22,410 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:22,410 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:20:22 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:20:22 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  74%|███████▍  | 569/770 [00:00<00:00, 5649.53it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5630.34it/s]
INFO:   04:20:23 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:20:24 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:20:24 - docling.document_converter - Going to convert document batch...
INFO:   04:20:24 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:20:24 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:20:24 - docling.document_converter - Finished converting document file in 0.65 sec.
WARNING:    04:20:24 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:20:24 - docling_jobkit.convert.results - Processed 1 docs in 0.77 seconds.
INFO:   04:20:24 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 69e95517-ebd1-4730-88eb-bc3db4c90e0b in 0.77 seconds
INFO:   04:20:26 - uvicorn.access - 172.17.0.1:37102 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:20:26 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:20:26 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:20:26 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:20:26 - docling_serve.app - [TENANT_ID] Task 0502109f-cd6b-451c-ae42-cf5803f7a004 created with tenant_id='default'
INFO:   04:20:26 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 0502109f-cd6b-451c-ae42-cf5803f7a004
INFO:   04:20:26 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:20:26 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   04:20:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:20:26,520 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:26,521 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:20:26,700 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:26,700 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:20:26,770 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:26,770 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:20:26 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:20:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 519/770 [00:00<00:00, 5185.34it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5927.64it/s]
INFO:   04:20:27 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:20:28 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:20:28 - docling.document_converter - Going to convert document batch...
INFO:   04:20:28 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:20:28 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:20:28 - docling.document_converter - Finished converting document file in 0.36 sec.
INFO:   04:20:28 - docling_jobkit.convert.results - Processed 1 docs in 0.36 seconds.
INFO:   04:20:28 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 0502109f-cd6b-451c-ae42-cf5803f7a004 in 0.36 seconds
INFO:   04:20:30 - uvicorn.access - 172.17.0.1:37102 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:20:30 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:20:30 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:20:30 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:20:30 - docling_serve.app - [TENANT_ID] Task 9de1741d-88e4-4e9a-8d9c-16e196ad9f69 created with tenant_id='default'
INFO:   04:20:30 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 9de1741d-88e4-4e9a-8d9c-16e196ad9f69
INFO:   04:20:30 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:20:30 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 6102b5a2a09ce02f29b31fc27cc3d04f
INFO:   04:20:30 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:20:30,197 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:30,197 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:20:30,375 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:30,376 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:20:30,463 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:20:30,464 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:20:30 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:20:30 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  54%|█████▍    | 414/770 [00:00<00:00, 4137.39it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5046.94it/s]
INFO:   04:20:31 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:20:31 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:20:32 - docling.document_converter - Going to convert document batch...
INFO:   04:20:32 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:20:32 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:20:32 - docling.document_converter - Finished converting document file in 0.59 sec.
INFO:   04:20:32 - docling_jobkit.convert.results - Processed 1 docs in 0.63 seconds.
INFO:   04:20:32 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 9de1741d-88e4-4e9a-8d9c-16e196ad9f69 in 0.63 seconds
INFO:   04:20:34 - uvicorn.access - 172.17.0.1:37102 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:20:34 - uvicorn.access - 172.17.0.1:37102 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:20:34 - uvicorn.access - 172.17.0.1:37102 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.22.1

Click to expand

###### Message

Click to collapse

Tag v1.22.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:18:40 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:18:40 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:18:40 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:18:40 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:18:40 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/livez$,/healthz$,/readyz$,/health$,/ready$,/metrics$)
INFO:   04:18:40 - uvicorn.error - Started server process [1]
INFO:   04:18:40 - uvicorn.error - Waiting for application startup.
INFO:   04:18:44 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:18:44 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:18:44 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:18:44 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:18:44 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:18:44 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 1743cd6dac10356c82ba7dfffff4ed02
INFO:   04:18:44 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:18:44 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-09-21 04:18:44.177466241 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:18:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:18:44,478 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:44,479 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:18:44,575 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:44,575 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:18:44,620 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:44,620 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:18:44 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:18:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  64%|██████▍   | 491/770 [00:00<00:00, 4900.70it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4964.02it/s]
INFO:   04:18:45 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:18:45 - uvicorn.error - Application startup complete.
INFO:   04:18:45 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:18:46 - docling_serve.app - Health check requested
INFO:   04:18:46 - uvicorn.access - 172.17.0.1:47856 - "GET /health HTTP/1.1" 200
INFO:   04:18:46 - docling_serve.app - Health check requested
INFO:   04:18:46 - uvicorn.access - 172.17.0.1:47858 - "GET /health HTTP/1.1" 200
INFO:   04:18:46 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:18:46 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:18:46 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:18:46 - docling_serve.app - [TENANT_ID] Task 1af72347-1cbf-40bf-a92d-03bf3d3a8882 created with tenant_id='default'
INFO:   04:18:46 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 1af72347-1cbf-40bf-a92d-03bf3d3a8882
INFO:   04:18:46 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:18:46 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a1cb01c48360ff351eb870dc682aac59
INFO:   04:18:46 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:18:46,299 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:46,300 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:18:46,404 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:46,404 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:18:46,468 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:46,468 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:18:46 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:18:46 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  69%|██████▉   | 531/770 [00:00<00:00, 5171.04it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5280.91it/s]
INFO:   04:18:46 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:18:47 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:18:47 - docling.document_converter - Going to convert document batch...
INFO:   04:18:47 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:18:47 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:18:47 - docling.document_converter - Finished converting document file in 0.37 sec.
WARNING:    04:18:47 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:18:47 - docling_jobkit.convert.results - Processed 1 docs in 0.44 seconds.
INFO:   04:18:47 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 1af72347-1cbf-40bf-a92d-03bf3d3a8882 in 0.44 seconds
INFO:   04:18:48 - uvicorn.access - 172.17.0.1:47858 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:18:48 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:18:48 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:18:48 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:18:48 - docling_serve.app - [TENANT_ID] Task f21c3cd1-15b7-4319-ae90-aa0277ad9322 created with tenant_id='default'
INFO:   04:18:48 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task f21c3cd1-15b7-4319-ae90-aa0277ad9322
INFO:   04:18:48 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:18:48 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a1cb01c48360ff351eb870dc682aac59
INFO:   04:18:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:18:48,326 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:48,326 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:18:48,425 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:48,425 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:18:48,472 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:48,472 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:18:48 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:18:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 513/770 [00:00<00:00, 5105.82it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5013.84it/s]
INFO:   04:18:49 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:18:49 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:18:50 - docling.document_converter - Going to convert document batch...
INFO:   04:18:50 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:18:50 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:18:50 - docling.document_converter - Finished converting document file in 0.47 sec.
INFO:   04:18:50 - docling_jobkit.convert.results - Processed 1 docs in 0.48 seconds.
INFO:   04:18:50 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job f21c3cd1-15b7-4319-ae90-aa0277ad9322 in 0.48 seconds
INFO:   04:18:50 - uvicorn.access - 172.17.0.1:47858 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:18:50 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:18:50 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:18:50 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:18:50 - docling_serve.app - [TENANT_ID] Task 35f03b1e-0154-456f-8d49-a02e06a9b878 created with tenant_id='default'
INFO:   04:18:50 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 35f03b1e-0154-456f-8d49-a02e06a9b878
INFO:   04:18:50 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:18:50 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash fb1751b09de6bdbe35ede48676ca8f82
INFO:   04:18:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:18:50,335 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:50,336 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:18:50,449 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:50,450 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:18:50,496 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:18:50,496 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:18:50 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:18:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  64%|██████▍   | 492/770 [00:00<00:00, 4906.21it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4857.56it/s]
INFO:   04:18:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:18:51 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:18:51 - docling.document_converter - Going to convert document batch...
INFO:   04:18:51 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:18:51 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:18:51 - docling.document_converter - Finished converting document file in 0.49 sec.
INFO:   04:18:51 - docling_jobkit.convert.results - Processed 1 docs in 0.54 seconds.
INFO:   04:18:51 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 35f03b1e-0154-456f-8d49-a02e06a9b878 in 0.54 seconds
INFO:   04:18:52 - uvicorn.access - 172.17.0.1:47858 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:18:52 - uvicorn.access - 172.17.0.1:47858 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:18:52 - uvicorn.access - 172.17.0.1:47858 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.22.0

Click to expand

###### Message

Click to collapse

Tag v1.22.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:   04:17:30 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:17:30 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   04:17:30 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   04:17:30 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   04:17:30 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/readyz$,/healthz$,/livez$,/metrics$,/ready$,/health$)
INFO:   04:17:30 - uvicorn.error - Started server process [1]
INFO:   04:17:30 - uvicorn.error - Waiting for application startup.
INFO:   04:17:36 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:17:36 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   04:17:36 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:17:36 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   04:17:36 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:17:36 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash bcb2e23b24bd94a42b5c00d662a7c1cf
INFO:   04:17:36 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   04:17:36 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-09-21 04:17:36.851355374 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
INFO:   04:17:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:17:37,311 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:37,313 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:17:37,493 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:37,494 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:17:37,579 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:37,583 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:17:37 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:17:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▍   | 497/770 [00:00<00:00, 4949.61it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5442.87it/s]
INFO:   04:17:38 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:17:39 - uvicorn.error - Application startup complete.
INFO:   04:17:39 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   04:17:39 - docling_serve.app - Health check requested
INFO:   04:17:39 - uvicorn.access - 172.17.0.1:42472 - "GET /health HTTP/1.1" 200
INFO:   04:17:39 - docling_serve.app - Health check requested
INFO:   04:17:39 - uvicorn.access - 172.17.0.1:42474 - "GET /health HTTP/1.1" 200
INFO:   04:17:39 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:17:39 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:17:39 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:17:39 - docling_serve.app - [TENANT_ID] Task 74821385-46a0-455c-a8cc-b195db55fddf created with tenant_id='default'
INFO:   04:17:39 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 74821385-46a0-455c-a8cc-b195db55fddf
INFO:   04:17:39 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:17:39 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c835e945376007df084ecda847e91f5b
INFO:   04:17:39 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:17:39,506 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:39,507 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:17:39,630 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:39,631 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:17:39,680 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:39,681 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:17:39 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:17:39 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▍   | 498/770 [00:00<00:00, 4967.20it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5081.46it/s]
INFO:   04:17:40 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:17:41 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:17:41 - docling.document_converter - Going to convert document batch...
INFO:   04:17:41 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:17:41 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:17:41 - docling.document_converter - Finished converting document file in 0.61 sec.
WARNING:    04:17:41 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   04:17:41 - docling_jobkit.convert.results - Processed 1 docs in 1.01 seconds.
INFO:   04:17:41 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 74821385-46a0-455c-a8cc-b195db55fddf in 1.01 seconds
INFO:   04:17:43 - uvicorn.access - 172.17.0.1:42474 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:17:43 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:17:43 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:17:43 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:17:43 - docling_serve.app - [TENANT_ID] Task 790f4f2c-48de-43e8-852f-6eb7de1ff8c5 created with tenant_id='default'
INFO:   04:17:43 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 790f4f2c-48de-43e8-852f-6eb7de1ff8c5
INFO:   04:17:43 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:17:43 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c835e945376007df084ecda847e91f5b
INFO:   04:17:43 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:17:43,856 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:43,856 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:17:44,004 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:44,004 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:17:44,056 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:44,057 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:17:44 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:17:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  58%|█████▊    | 447/770 [00:00<00:00, 4456.60it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5090.73it/s]
INFO:   04:17:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:17:46 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:17:46 - docling.document_converter - Going to convert document batch...
INFO:   04:17:46 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:17:46 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:17:46 - docling.document_converter - Finished converting document file in 0.42 sec.
INFO:   04:17:46 - docling_jobkit.convert.results - Processed 1 docs in 0.44 seconds.
INFO:   04:17:46 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 790f4f2c-48de-43e8-852f-6eb7de1ff8c5 in 0.44 seconds
INFO:   04:17:47 - uvicorn.access - 172.17.0.1:42474 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:17:47 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   04:17:47 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   04:17:47 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   04:17:47 - docling_serve.app - [TENANT_ID] Task 73393eb0-5074-4be7-b168-5088c1210e15 created with tenant_id='default'
INFO:   04:17:47 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 73393eb0-5074-4be7-b168-5088c1210e15
INFO:   04:17:47 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   04:17:47 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 3eabf304acb4a56e9ef52b02ef69bccb
INFO:   04:17:47 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-09-21 04:17:47,928 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:47,928 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:17:48,087 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:48,087 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:17:48,138 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:17:48,138 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   04:17:48 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   04:17:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  68%|██████▊   | 522/770 [00:00<00:00, 5217.87it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6047.47it/s]
INFO:   04:17:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   04:17:49 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   04:17:49 - docling.document_converter - Going to convert document batch...
INFO:   04:17:49 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   04:17:49 - docling.pipeline.base_pipeline - Processing document file
INFO:   04:17:49 - docling.document_converter - Finished converting document file in 0.42 sec.
INFO:   04:17:49 - docling_jobkit.convert.results - Processed 1 docs in 0.49 seconds.
INFO:   04:17:49 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 73393eb0-5074-4be7-b168-5088c1210e15 in 0.49 seconds
INFO:   04:17:51 - uvicorn.access - 172.17.0.1:42474 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   04:17:52 - uvicorn.access - 172.17.0.1:42474 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   04:17:52 - uvicorn.access - 172.17.0.1:42474 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200

ghcr.io/docling-project/docling-serve:v1.21.0

Click to expand

###### Message

Click to collapse

Tag v1.21.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
2026-09-21 04:15:39.514006660 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:15:39,840 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:39,842 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:15:39,936 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:39,936 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:15:39,983 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:39,983 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  68%|██████▊   | 523/770 [00:00<00:00, 5226.98it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5313.57it/s]
[INFO] 2026-09-21 04:15:41,687 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:41,687 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:15:41,785 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:41,785 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:15:41,833 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:41,834 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  65%|██████▌   | 504/770 [00:00<00:00, 5031.56it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5053.43it/s]
WARNING:    04:15:43 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
WARNING:    04:15:43 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
[INFO] 2026-09-21 04:15:43,983 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:43,984 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:15:44,081 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:44,082 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:15:44,134 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:44,134 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  67%|██████▋   | 515/770 [00:00<00:00, 5145.74it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5099.89it/s]
[INFO] 2026-09-21 04:15:45,718 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:45,718 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:15:45,844 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:45,844 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:15:45,891 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:15:45,892 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  69%|██████▉   | 534/770 [00:00<00:00, 5337.74it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5257.47it/s]

ghcr.io/docling-project/docling-serve:v1.20.0

Click to expand

###### Message

Click to collapse

Tag v1.20.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:14:46.065150666 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:14:46,539 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:46,542 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:14:46,690 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:46,690 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:14:46,739 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:46,740 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5670.52it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:50178 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:50190 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:14:49,138 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:49,138 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:14:49,271 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:49,271 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:14:49,318 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:49,319 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4849.92it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:50190 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:14:53,171 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:53,171 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:14:53,303 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:53,303 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:14:53,396 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:53,396 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6324.05it/s]
INFO:     172.17.0.1:50190 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:14:57,190 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:57,190 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:14:57,350 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:57,350 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:14:57,441 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:14:57,441 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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INFO:     172.17.0.1:50190 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50190 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:50190 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.19.0

Click to expand

###### Message

Click to collapse

Tag v1.19.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:12:44.771904728 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:12:45,062 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:45,064 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:12:45,161 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:45,161 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:12:45,206 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:45,206 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▌   | 506/770 [00:00<00:00, 4998.91it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5178.94it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:46726 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:46742 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:12:46,819 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:46,819 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:12:46,920 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:46,920 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:12:46,986 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:46,987 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4705.70it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:46742 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:12:48,838 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:48,838 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:12:48,935 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:48,935 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:12:48,981 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:48,981 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5156.75it/s]
INFO:     172.17.0.1:46742 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:12:50,855 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:50,856 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:12:50,945 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:50,945 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:12:50,998 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:50,999 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5006.34it/s]
INFO:     172.17.0.1:46742 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46742 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:46742 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.18.0

Click to expand

###### Message

Click to collapse

Tag v1.18.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:11:56.354938085 [W:onnxruntime:Default, device_discovery.cc:133 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename "5620e0c7-8062-4dce-aeb7-520c7ef76171" did not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:11:56,799 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:11:56,801 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:11:56,928 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:11:56,929 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:11:56,975 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:11:56,975 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4398.46it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:57264 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:57272 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:11:58,832 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:11:58,832 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:11:58,927 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:11:58,927 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:11:58,971 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:11:58,971 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5635.80it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:57272 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:12:00,821 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:00,821 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:12:00,931 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:00,932 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:12:01,012 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:01,012 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6928.85it/s]
INFO:     172.17.0.1:57272 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:12:04,864 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:04,865 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:12:04,986 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:04,986 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:12:05,057 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:12:05,057 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4459.89it/s]
INFO:     172.17.0.1:57272 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57272 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:57272 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.17.0

Click to expand

###### Message

Click to collapse

Tag v1.17.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:09:06.917022491 [W:onnxruntime:Default, device_discovery.cc:132 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:09:07,694 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:07,697 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:09:07,871 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:07,872 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:09:07,926 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:07,926 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  70%|██████▉   | 538/770 [00:00<00:00, 5376.79it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5255.72it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:39040 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:39050 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:10,184 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:10,185 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:09:10,316 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:10,317 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:09:10,398 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:10,398 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  73%|███████▎  | 561/770 [00:00<00:00, 5607.71it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6091.86it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:39050 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:14,586 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:14,586 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:09:14,673 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:14,674 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:09:14,720 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:14,720 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
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Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5014.59it/s]
INFO:     172.17.0.1:39050 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:18,651 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:18,651 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:09:18,795 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:18,795 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:09:18,894 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:18,895 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▋   | 511/770 [00:00<00:00, 5025.65it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5156.70it/s]
INFO:     172.17.0.1:39050 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39050 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:39050 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.16.1

Click to expand

###### Message

Click to collapse

Tag v1.16.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:09:36.127638846 [W:onnxruntime:Default, device_discovery.cc:132 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:09:36,825 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:36,827 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:09:36,952 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:36,953 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:09:37,011 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:37,011 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  61%|██████    | 469/770 [00:00<00:00, 4685.96it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5900.75it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:45854 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:45868 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:38,987 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:38,988 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:09:39,118 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:39,119 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:09:39,216 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:39,217 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  50%|████▉     | 384/770 [00:00<00:00, 3837.53it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5284.14it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:45868 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:40,973 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:40,973 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:09:41,067 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:41,068 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:09:41,123 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:41,123 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▌   | 510/770 [00:00<00:00, 5054.54it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5003.78it/s]
INFO:     172.17.0.1:45868 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:44,989 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:44,989 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:09:45,076 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:45,076 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:09:45,127 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:45,128 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  63%|██████▎   | 482/770 [00:00<00:00, 4784.87it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 4953.62it/s]
INFO:     172.17.0.1:45868 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45868 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:45868 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.15.0

Click to expand

###### Message

Click to collapse

Tag v1.15.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:05:55.375483614 [W:onnxruntime:Default, device_discovery.cc:132 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:05:55,815 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:05:55,816 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:05:55,901 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:05:55,902 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:05:55,944 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:05:55,944 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:59470 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:59476 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:59476 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:59476 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:59476 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:59476 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:59476 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.14.3

Click to expand

###### Message

Click to collapse

Tag v1.14.3 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:05:42.152628433 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:05:42,847 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:05:42,850 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:05:43,018 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:05:43,019 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:05:43,099 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:05:43,100 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:58696 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:58708 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:58708 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58708 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58708 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58708 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:58708 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.14.2

Click to expand

###### Message

Click to collapse

Tag v1.14.2 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:02:06.586213140 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:02:07,103 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:02:07,104 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:02:07,185 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:02:07,185 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:02:07,228 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:02:07,228 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:58686 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:58688 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:58688 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58688 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58688 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58688 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:58688 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.14.1

Click to expand

###### Message

Click to collapse

Tag v1.14.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 04:02:02.104819275 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 04:02:02,606 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:02:02,608 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 04:02:02,707 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:02:02,707 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 04:02:02,768 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:02:02,768 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:50628 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:50632 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:50632 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50632 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50632 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50632 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:50632 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.14.0

Click to expand

###### Message

Click to collapse

Tag v1.14.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 03:58:21.257302148 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 03:58:21,756 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:58:21,759 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:58:21,863 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:58:21,863 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:58:21,924 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:58:21,924 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:43970 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:43978 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:43978 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:43978 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:43978 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:43978 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:43978 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.13.1

Click to expand

###### Message

Click to collapse

Tag v1.13.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 03:58:14.251119945 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 03:58:14,796 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:58:14,797 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:58:14,930 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:58:14,930 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:58:14,989 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:58:14,990 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:46986 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:46996 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:46996 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46996 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46996 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46996 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:46996 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.13.0

Click to expand

###### Message

Click to collapse

Tag v1.13.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 03:54:35.902172957 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 03:54:36,387 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:54:36,389 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:54:36,484 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:54:36,484 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:54:36,532 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:54:36,532 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:52618 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:52630 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:52630 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52630 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52630 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52630 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:52630 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.12.0

Click to expand

###### Message

Click to collapse

Tag v1.12.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
2026-09-21 03:53:21.831209368 [W:onnxruntime:Default, device_discovery.cc:131 GetPciBusId] Skipping pci_bus_id for PCI path at "/sys/devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/MSFT1000:00/5620e0c7-8062-4dce-aeb7-520c7ef76171" because filename ""5620e0c7-8062-4dce-aeb7-520c7ef76171"" dit not match expected pattern of [0-9a-f]+:[0-9a-f]+:[0-9a-f]+[.][0-9a-f]+
[INFO] 2026-09-21 03:53:22,499 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:53:22,502 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:53:22,669 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:53:22,669 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:53:22,763 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:53:22,764 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:54368 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:54382 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:54382 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:54382 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:54382 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:54382 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:54382 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.11.0

Click to expand

###### Message

Click to collapse

Tag v1.11.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
[INFO] 2026-09-21 03:50:54,447 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:50:54,449 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:50:54,520 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:50:54,520 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:50:54,558 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:50:54,558 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:35200 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:35208 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:35208 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35208 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35208 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35208 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:35208 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.10.0

Click to expand

###### Message

Click to collapse

Tag v1.10.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
[INFO] 2026-09-21 03:49:45,631 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:49:45,633 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:49:45,764 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:49:45,764 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:49:45,843 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:49:45,843 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:44216 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:44228 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:44228 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44228 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44228 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44228 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:44228 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.9.0

Click to expand

###### Message

Click to collapse

Tag v1.9.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
[INFO] 2026-09-21 03:47:00,137 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:47:00,140 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:47:00,225 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:47:00,226 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:47:00,263 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:47:00,263 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:37246 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:37262 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:37262 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37262 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37262 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37262 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:37262 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.8.0

Click to expand

###### Message

Click to collapse

Tag v1.8.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
[INFO] 2026-09-21 03:45:08,444 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:45:08,446 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:45:08,614 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:45:08,614 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:45:08,700 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:45:08,700 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:42090 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:42092 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:42092 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42092 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42092 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42092 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:42092 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.7.2

Click to expand

###### Message

Click to collapse

Tag v1.7.2 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
[INFO] 2026-09-21 03:42:38,441 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:42:38,442 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:42:38,512 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:42:38,512 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:42:38,549 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:42:38,549 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:44198 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:44210 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:44210 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44210 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44210 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44210 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:44210 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.7.1

Click to expand

###### Message

Click to collapse

Tag v1.7.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
[INFO] 2026-09-21 03:40:57,646 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:40:57,648 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-09-21 03:40:57,772 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:40:57,773 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_infer.onnx
[INFO] 2026-09-21 03:40:57,850 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 03:40:57,850 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_infer.onnx
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:38922 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:38928 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:38928 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:38928 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:38928 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:38928 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:38928 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.7.0

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###### Message

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Tag v1.7.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:48728 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:48736 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.6.0

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###### Message

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Tag v1.6.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:40354 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:40356 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:40356 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40356 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40356 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40356 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:40356 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.5.1

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###### Message

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Tag v1.5.1 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:55814 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:55826 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:55826 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55826 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55826 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55826 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:55826 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.5.0

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###### Message

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Tag v1.5.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:53790 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:53798 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.4.1

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###### Message

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Tag v1.4.1 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:37198 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:37214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.4.0

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###### Message

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Tag v1.4.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:47082 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:47098 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.3.1

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###### Message

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Tag v1.3.1 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:46592 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:46596 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.3.0

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###### Message

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Tag v1.3.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:40868 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:40878 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.2.2

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###### Message

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Tag v1.2.2 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:45680 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:45684 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.2.1

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###### Message

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Tag v1.2.1 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:52438 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:52452 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.2.0

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###### Message

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Tag v1.2.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:49430 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:49444 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.1.0

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###### Message

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Tag v1.1.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:55078 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:55084 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.0.1

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###### Message

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Tag v1.0.1 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:57468 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:57470 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

ghcr.io/docling-project/docling-serve:v1.0.0

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###### Message

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Tag v1.0.0 is ok

###### Docling server logs

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Starting production server 🚀

Server started at http://0.0.0.0:5001
Documentation at http://0.0.0.0:5001/docs
Scalar docs at http://0.0.0.0:5001/scalar

Logs:
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:33420 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:33434 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK