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. This module has no other required dependencies, although 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:0.5.4")
}

<dependency>
  <groupId>ai.docling</groupId>
  <artifactId>docling-serve-api</artifactId>
  <version>0.5.4</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.

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 building/customizing instances of DoclingServeApi. An application (or downstream framework) can create an implementation of ai.docling.serve.api.spi.DoclingServeApiBuilderFactory and register it via the META-INF/services/ai.docling.serve.api.spi.DoclingServeApiBuilderFactory file, or providing an implementation using Java modules.

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

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 exposes a toBuilder() method so implementations can be duplicated and tweaked. Most client builders, including the reference client, also expose logRequests() and logResponses() for simple diagnostics:

DoclingServeApi newApi = api.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 2026-08-03T05:21:58.408167679Z#

Here are the results:

Tag	Result	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:v1.29.0#

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:   05:21:44 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:21:44 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:21:44 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   05:21:44 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   05:21:45 - docling_jobkit.connectors.plugins.defaults - Connector 'OpenSearchTargetProcessor' skipped — optional dependency not installed (No module named 'opensearchpy'). Install the matching extra to enable it.
INFO:   05:21:45 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:21:45 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:21:45 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/healthz$,/readyz$,/health$,/metrics$,/livez$,/ready$)
INFO:   05:21:45 - uvicorn.error - Started server process [1]
INFO:   05:21:45 - uvicorn.error - Waiting for application startup.
INFO:   05:21:47 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:21:47 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:21:47 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:21:47 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:21:47 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:21:47 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash caff667a02b7f037838d32d34acfe0b0
INFO:   05:21:47 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:21:47 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   05:21:47 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-08-03 05:21:47.903196848 [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]+[m
INFO:   05:21:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:21:48,094 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:48,095 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:21:48,138 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:48,138 [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] 2026-08-03 05:21:48,175 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:48,176 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:21:48 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:21:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▌ | 658/770 [00:00<00:00, 6561.72it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6673.85it/s]
INFO:   05:21:48 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:21:48 - uvicorn.error - Application startup complete.
INFO:   05:21:48 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:21:49 - docling_serve.app - Health check requested
INFO:   05:21:49 - uvicorn.access - 172.17.0.1:55880 - "GET /health HTTP/1.1" 200
INFO:   05:21:49 - docling_serve.app - Health check requested
INFO:   05:21:49 - uvicorn.access - 172.17.0.1:55888 - "GET /health HTTP/1.1" 200
INFO:   05:21:49 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:21:49 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:21:49 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:21:49 - docling_serve.app - [TENANT_ID] Task 0ee427cf-5177-4c8e-9754-c900cb520787 created with tenant_id='default'
INFO:   05:21:49 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 0ee427cf-5177-4c8e-9754-c900cb520787
INFO:   05:21:49 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:21:49 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash ab12ef348c8fc273bf2be7a49773b303
INFO:   05:21:49 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:21:49 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:21:49,888 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:49,888 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:21:49,937 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:49,938 [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] 2026-08-03 05:21:49,976 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:49,977 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:21:50 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:21:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▌ | 657/770 [00:00<00:00, 6564.25it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6613.63it/s]
INFO:   05:21:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:21:51 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:21:51 - docling.document_converter - Going to convert document batch...
INFO:   05:21:51 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:21:51 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:21:51 - docling.document_converter - Finished converting document file in 0.39 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:    05:21:51 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:21:51 - docling_jobkit.convert.results - Processed 1 docs in 0.43 seconds.
INFO:   05:21:51 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 0ee427cf-5177-4c8e-9754-c900cb520787 in 0.43 seconds
INFO:   05:21:51 - uvicorn.access - 172.17.0.1:55888 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:21:51 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:21:51 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:21:51 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:21:51 - docling_serve.app - [TENANT_ID] Task b2598167-aa8d-46d1-950f-f7afe1ef7109 created with tenant_id='default'
INFO:   05:21:51 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task b2598167-aa8d-46d1-950f-f7afe1ef7109
INFO:   05:21:51 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:21:51 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash ab12ef348c8fc273bf2be7a49773b303
INFO:   05:21:51 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:21:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:21:51,924 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:51,924 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:21:51,974 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:51,974 [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] 2026-08-03 05:21:52,013 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:52,013 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:21:52 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:21:52 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▌ | 656/770 [00:00<00:00, 6536.10it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6679.57it/s]
INFO:   05:21:52 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:21:52 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:21:52 - docling.document_converter - Going to convert document batch...
INFO:   05:21:52 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:21:52 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:21:52 - docling.document_converter - Finished converting document file in 0.24 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:   05:21:52 - docling_jobkit.convert.results - Processed 1 docs in 0.24 seconds.
INFO:   05:21:52 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job b2598167-aa8d-46d1-950f-f7afe1ef7109 in 0.24 seconds
INFO:   05:21:53 - uvicorn.access - 172.17.0.1:55888 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:21:53 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:21:53 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:21:53 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:21:53 - docling_serve.app - [TENANT_ID] Task a49d8a5f-be97-4b69-b18f-bfda61e1cfbc created with tenant_id='default'
INFO:   05:21:53 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task a49d8a5f-be97-4b69-b18f-bfda61e1cfbc
INFO:   05:21:53 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:21:53 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash b3849eabdc7ecae5f3d54428a0162342
INFO:   05:21:53 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:21:53 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:21:53,932 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:53,933 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:21:53,980 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:53,980 [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] 2026-08-03 05:21:54,020 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:54,021 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:21:54 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:21:54 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▍ | 654/770 [00:00<00:00, 6520.34it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6598.90it/s]
INFO:   05:21:54 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:21:54 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:21:54 - docling.document_converter - Going to convert document batch...
INFO:   05:21:54 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:21:54 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:21:54 - docling.document_converter - Finished converting document file in 0.21 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:   05:21:54 - docling_jobkit.convert.results - Processed 1 docs in 0.23 seconds.
INFO:   05:21:54 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job a49d8a5f-be97-4b69-b18f-bfda61e1cfbc in 0.23 seconds
INFO:   05:21:55 - uvicorn.access - 172.17.0.1:55888 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:21:56 - uvicorn.access - 172.17.0.1:55888 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:21:56 - uvicorn.access - 172.17.0.1:55888 - "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:   05:20:49 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:20:49 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:20:49 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   05:20:50 - docling_jobkit.connectors.connector_factory - Loading connector plugin 'docling_jobkit_defaults'
INFO:   05:20:50 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:20:50 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:20:50 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/readyz$,/metrics$,/ready$,/healthz$,/health$,/livez$)
INFO:   05:20:50 - uvicorn.error - Started server process [1]
INFO:   05:20:50 - uvicorn.error - Waiting for application startup.
INFO:   05:20:53 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:20:54 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:20:54 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:20:54 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:20:54 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:20:54 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 118619a1d3ed3b201b814dac997d6742
INFO:   05:20:54 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:20:54 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   05:20:54 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-08-03 05:20:54.377505519 [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]+[m
INFO:   05:20:54 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:20:54,673 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:20:54,674 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:20:54,767 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:20:54,768 [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] 2026-08-03 05:20:54,852 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:20:54,852 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:20:55 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:20:55 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 8066.45it/s]
INFO:   05:20:55 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:20:56 - uvicorn.error - Application startup complete.
INFO:   05:20:56 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:20:57 - docling_serve.app - Health check requested
INFO:   05:20:57 - uvicorn.access - 172.17.0.1:52988 - "GET /health HTTP/1.1" 200
INFO:   05:20:57 - docling_serve.app - Health check requested
INFO:   05:20:57 - uvicorn.access - 172.17.0.1:53000 - "GET /health HTTP/1.1" 200
INFO:   05:20:57 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:20:57 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:20:57 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:20:57 - docling_serve.app - [TENANT_ID] Task 198b1270-88f6-4e9a-842e-6abebc3dd254 created with tenant_id='default'
INFO:   05:20:57 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 198b1270-88f6-4e9a-842e-6abebc3dd254
INFO:   05:20:57 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:20:57 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   05:20:57 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:20:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:20:57,318 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:20:57,319 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:20:57,420 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:20:57,420 [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] 2026-08-03 05:20:57,473 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:20:57,474 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:20:57 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:20:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7936.94it/s]
INFO:   05:20:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:20:59 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:20:59 - docling.document_converter - Going to convert document batch...
INFO:   05:20:59 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:20:59 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:20:59 - docling.document_converter - Finished converting document file in 0.64 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:    05:20:59 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:20:59 - docling_jobkit.convert.results - Processed 1 docs in 0.69 seconds.
INFO:   05:20:59 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 198b1270-88f6-4e9a-842e-6abebc3dd254 in 0.69 seconds
INFO:   05:21:01 - uvicorn.access - 172.17.0.1:53000 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:21:01 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:21:01 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:21:01 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:21:01 - docling_serve.app - [TENANT_ID] Task 3bfde75c-1148-4d85-8146-850afdd417fa created with tenant_id='default'
INFO:   05:21:01 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 3bfde75c-1148-4d85-8146-850afdd417fa
INFO:   05:21:01 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:21:01 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   05:21:01 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:21:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:21:01,349 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:01,349 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:21:01,411 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:01,411 [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] 2026-08-03 05:21:01,552 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:01,552 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:21:01 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:21:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  82%|████████▏ | 634/770 [00:00<00:00, 6336.79it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6419.87it/s]
INFO:   05:21:02 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:21:03 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:21:03 - docling.document_converter - Going to convert document batch...
INFO:   05:21:03 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:21:03 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:21:03 - docling.document_converter - Finished converting document file in 0.32 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:   05:21:03 - docling_jobkit.convert.results - Processed 1 docs in 0.32 seconds.
INFO:   05:21:03 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 3bfde75c-1148-4d85-8146-850afdd417fa in 0.32 seconds
INFO:   05:21:05 - uvicorn.access - 172.17.0.1:53000 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:21:05 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:21:05 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:21:05 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:21:05 - docling_serve.app - [TENANT_ID] Task 86fc525a-040c-4a49-86dd-b347bf0687d8 created with tenant_id='default'
INFO:   05:21:05 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 86fc525a-040c-4a49-86dd-b347bf0687d8
INFO:   05:21:05 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:21:05 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 528ff53b5cc66cd5f7f61ef2cd72a8fc
INFO:   05:21:05 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:21:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:21:05,358 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:05,358 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:21:05,468 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:05,468 [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] 2026-08-03 05:21:05,528 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:21:05,528 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:21:05 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:21:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  93%|█████████▎| 716/770 [00:00<00:00, 7155.69it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7361.28it/s]
INFO:   05:21:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:21:07 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:21:07 - docling.document_converter - Going to convert document batch...
INFO:   05:21:07 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:21:07 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:21:07 - docling.document_converter - Finished converting document file in 0.35 sec.
/opt/app-root/lib64/python3.12/site-packages/docling/datamodel/base_models.py: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:   05:21:07 - docling_jobkit.convert.results - Processed 1 docs in 0.38 seconds.
INFO:   05:21:07 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 86fc525a-040c-4a49-86dd-b347bf0687d8 in 0.38 seconds
INFO:   05:21:09 - uvicorn.access - 172.17.0.1:53000 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:21:09 - uvicorn.access - 172.17.0.1:53000 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:21:09 - uvicorn.access - 172.17.0.1:53000 - "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:   05:19:24 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:19:24 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:19:24 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:19:24 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:19:24 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/health$,/ready$,/metrics$,/livez$,/healthz$,/readyz$)
INFO:   05:19:24 - uvicorn.error - Started server process [1]
INFO:   05:19:24 - uvicorn.error - Waiting for application startup.
INFO:   05:19:28 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:19:28 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:19:28 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:19:28 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:19:28 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:19:28 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 118619a1d3ed3b201b814dac997d6742
INFO:   05:19:28 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:19:28 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   05:19:29 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-08-03 05:19:29.035405552 [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]+[m
INFO:   05:19:29 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:19:29,339 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:29,340 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:19:29,417 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:29,417 [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] 2026-08-03 05:19:29,504 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:29,505 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:19:29 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:19:29 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  83%|████████▎ | 640/770 [00:00<00:00, 6317.21it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6385.20it/s]
INFO:   05:19:30 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:19:30 - uvicorn.error - Application startup complete.
INFO:   05:19:30 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:19:31 - docling_serve.app - Health check requested
INFO:   05:19:31 - uvicorn.access - 172.17.0.1:35196 - "GET /health HTTP/1.1" 200
INFO:   05:19:31 - docling_serve.app - Health check requested
INFO:   05:19:31 - uvicorn.access - 172.17.0.1:35210 - "GET /health HTTP/1.1" 200
INFO:   05:19:31 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:19:31 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:19:31 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:19:31 - docling_serve.app - [TENANT_ID] Task 7dc617e5-7c7e-4add-a1f8-dcdf59b358f0 created with tenant_id='default'
INFO:   05:19:31 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 7dc617e5-7c7e-4add-a1f8-dcdf59b358f0
INFO:   05:19:31 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:19:31 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   05:19:31 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:19:31 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:19:31,491 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:31,492 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:19:31,548 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:31,549 [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] 2026-08-03 05:19:31,595 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:31,595 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:19:31 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:19:31 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  80%|████████  | 618/770 [00:00<00:00, 6159.01it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5978.71it/s]
INFO:   05:19:32 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:19:32 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:19:32 - docling.document_converter - Going to convert document batch...
INFO:   05:19:32 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:19:32 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:19:32 - docling.document_converter - Finished converting document file in 0.37 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:    05:19:32 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:19:32 - docling_jobkit.convert.results - Processed 1 docs in 0.42 seconds.
INFO:   05:19:32 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 7dc617e5-7c7e-4add-a1f8-dcdf59b358f0 in 0.42 seconds
INFO:   05:19:33 - uvicorn.access - 172.17.0.1:35210 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:19:33 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:19:33 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:19:33 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:19:33 - docling_serve.app - [TENANT_ID] Task 0757bfc0-3ef3-4e0e-a568-ac7f73849039 created with tenant_id='default'
INFO:   05:19:33 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 0757bfc0-3ef3-4e0e-a568-ac7f73849039
INFO:   05:19:33 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:19:33 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 83f6e7119a1499def48d21cd30b03869
INFO:   05:19:33 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:19:33 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:19:33,534 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:33,534 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:19:33,591 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:33,591 [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] 2026-08-03 05:19:33,721 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:33,721 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:19:33 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:19:33 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  91%|█████████ | 702/770 [00:00<00:00, 7011.33it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7006.72it/s]
INFO:   05:19:34 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:19:35 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:19:35 - docling.document_converter - Going to convert document batch...
INFO:   05:19:35 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:19:35 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:19:35 - docling.document_converter - Finished converting document file in 0.37 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:   05:19:35 - docling_jobkit.convert.results - Processed 1 docs in 0.38 seconds.
INFO:   05:19:35 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 0757bfc0-3ef3-4e0e-a568-ac7f73849039 in 0.38 seconds
INFO:   05:19:35 - uvicorn.access - 172.17.0.1:35210 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:19:35 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:19:35 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:19:35 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:19:35 - docling_serve.app - [TENANT_ID] Task 772fa526-e719-4acf-95fa-ee8e5a6c50f6 created with tenant_id='default'
INFO:   05:19:35 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 772fa526-e719-4acf-95fa-ee8e5a6c50f6
INFO:   05:19:35 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:19:35 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 528ff53b5cc66cd5f7f61ef2cd72a8fc
INFO:   05:19:35 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:19:35 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:19:35,529 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:35,529 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx
[INFO] 2026-08-03 05:19:35,634 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:35,634 [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] 2026-08-03 05:19:35,734 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:19:35,734 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx
INFO:   05:19:35 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:19:35 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 10255.25it/s]
INFO:   05:19:36 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:19:36 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:19:37 - docling.document_converter - Going to convert document batch...
INFO:   05:19:37 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:19:37 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:19:37 - docling.document_converter - Finished converting document file in 0.31 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:   05:19:37 - docling_jobkit.convert.results - Processed 1 docs in 0.34 seconds.
INFO:   05:19:37 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 772fa526-e719-4acf-95fa-ee8e5a6c50f6 in 0.34 seconds
INFO:   05:19:37 - uvicorn.access - 172.17.0.1:35210 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:19:37 - uvicorn.access - 172.17.0.1:35210 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:19:37 - uvicorn.access - 172.17.0.1:35210 - "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:   05:17:53 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:17:53 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'nemotron-ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:17:53 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:17:53 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:17:53 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/health$,/metrics$,/healthz$,/ready$,/livez$,/readyz$)
INFO:   05:17:53 - uvicorn.error - Started server process [1]
INFO:   05:17:53 - uvicorn.error - Waiting for application startup.
INFO:   05:17:56 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:17:56 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:17:56 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:17:56 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:17:56 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:17:56 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c4d6547d10e26a777a530d63ca01a1a1
INFO:   05:17:56 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:17:56 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
INFO:   05:17:56 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
2026-08-03 05:17:57.033463411 [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]+[m
INFO:   05:17:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:17:57,450 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:17:57,452 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:17:57,561 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:17:57,562 [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] 2026-08-03 05:17:57,607 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:17:57,607 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:17:57 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:17:57 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  83%|████████▎ | 640/770 [00:00<00:00, 6398.95it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6353.28it/s]
INFO:   05:17:58 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:17:58 - uvicorn.error - Application startup complete.
INFO:   05:17:58 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:17:59 - docling_serve.app - Health check requested
INFO:   05:17:59 - uvicorn.access - 172.17.0.1:36056 - "GET /health HTTP/1.1" 200
INFO:   05:17:59 - docling_serve.app - Health check requested
INFO:   05:17:59 - uvicorn.access - 172.17.0.1:36072 - "GET /health HTTP/1.1" 200
INFO:   05:17:59 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:17:59 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:17:59 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:17:59 - docling_serve.app - [TENANT_ID] Task ba8613e8-d220-4aad-927d-8dfd021a9f57 created with tenant_id='default'
INFO:   05:17:59 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task ba8613e8-d220-4aad-927d-8dfd021a9f57
INFO:   05:17:59 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:17:59 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 4ef9920c0fc80ed745870d6025fc17ac
INFO:   05:17:59 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:17:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:17:59,101 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:17:59,101 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:17:59,187 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:17:59,187 [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] 2026-08-03 05:17:59,233 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:17:59,233 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:17:59 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:17:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  80%|███████▉  | 614/770 [00:00<00:00, 6100.11it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6185.99it/s]
INFO:   05:17:59 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:18:00 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:18:00 - docling.document_converter - Going to convert document batch...
INFO:   05:18:00 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:18:00 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:18:00 - docling.document_converter - Finished converting document file in 0.55 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:    05:18:00 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:18:00 - docling_jobkit.convert.results - Processed 1 docs in 0.59 seconds.
INFO:   05:18:00 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job ba8613e8-d220-4aad-927d-8dfd021a9f57 in 0.59 seconds
INFO:   05:18:01 - uvicorn.access - 172.17.0.1:36072 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:18:01 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:18:01 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:18:01 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:18:01 - docling_serve.app - [TENANT_ID] Task 6302cb3a-1ebc-4cea-9a64-75d48cbfd188 created with tenant_id='default'
INFO:   05:18:01 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 6302cb3a-1ebc-4cea-9a64-75d48cbfd188
INFO:   05:18:01 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:18:01 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 4ef9920c0fc80ed745870d6025fc17ac
INFO:   05:18:01 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:18:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:18:01,117 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:18:01,117 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:18:01,209 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:18:01,209 [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] 2026-08-03 05:18:01,257 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:18:01,257 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:18:01 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:18:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▌ | 657/770 [00:00<00:00, 6527.35it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6477.57it/s]
INFO:   05:18:01 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:18:02 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:18:02 - docling.document_converter - Going to convert document batch...
INFO:   05:18:02 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:18:02 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:18:02 - docling.document_converter - Finished converting document file in 0.37 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:   05:18:02 - docling_jobkit.convert.results - Processed 1 docs in 0.37 seconds.
INFO:   05:18:02 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 6302cb3a-1ebc-4cea-9a64-75d48cbfd188 in 0.37 seconds
INFO:   05:18:03 - uvicorn.access - 172.17.0.1:36072 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:18:03 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:18:03 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:18:03 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:18:03 - docling_serve.app - [TENANT_ID] Task ee4a1ce6-f6ce-4cde-a534-f1a6f1eb596b created with tenant_id='default'
INFO:   05:18:03 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task ee4a1ce6-f6ce-4cde-a534-f1a6f1eb596b
INFO:   05:18:03 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:18:03 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 63e8839d1103b03d45382915dba33c89
INFO:   05:18:03 - docling.models.stages.ocr.auto_ocr_model - Nemotron cannot be used because it is not installed.
INFO:   05:18:03 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:18:03,128 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:18:03,128 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:18:03,212 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:18:03,212 [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] 2026-08-03 05:18:03,259 [RapidOCR] base.py:23: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:18:03,259 [RapidOCR] main.py:63: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:18:03 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:18:03 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  73%|███████▎  | 564/770 [00:00<00:00, 5632.61it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5745.05it/s]
INFO:   05:18:03 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:18:04 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:18:04 - docling.document_converter - Going to convert document batch...
INFO:   05:18:04 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:18:04 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:18:04 - docling.document_converter - Finished converting document file in 0.33 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:   05:18:04 - docling_jobkit.convert.results - Processed 1 docs in 0.35 seconds.
INFO:   05:18:04 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job ee4a1ce6-f6ce-4cde-a534-f1a6f1eb596b in 0.35 seconds
INFO:   05:18:05 - uvicorn.access - 172.17.0.1:36072 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:18:05 - uvicorn.access - 172.17.0.1:36072 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:18:05 - uvicorn.access - 172.17.0.1:36072 - "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:   05:16:39 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:16:39 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:16:39 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:16:39 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:16:39 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/metrics$,/health$,/livez$,/ready$,/healthz$,/readyz$)
INFO:   05:16:39 - uvicorn.error - Started server process [1]
INFO:   05:16:39 - uvicorn.error - Waiting for application startup.
INFO:   05:16:43 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:16:43 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:16:43 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:16:43 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:16:43 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:16:43 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash f446dcc5a1a7c6aff458e30cab474a9e
INFO:   05:16:43 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:16:43 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-08-03 05:16:43.122080895 [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]+[m
INFO:   05:16:43 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:16:43,397 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:43,398 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:16:43,494 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:43,494 [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] 2026-08-03 05:16:43,536 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:43,536 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:16:43 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:16:43 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  81%|████████  | 623/770 [00:00<00:00, 6208.48it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6382.21it/s]
INFO:   05:16:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:16:44 - uvicorn.error - Application startup complete.
INFO:   05:16:44 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:16:44 - docling_serve.app - Health check requested
INFO:   05:16:44 - uvicorn.access - 172.17.0.1:48960 - "GET /health HTTP/1.1" 200
INFO:   05:16:44 - docling_serve.app - Health check requested
INFO:   05:16:44 - uvicorn.access - 172.17.0.1:48976 - "GET /health HTTP/1.1" 200
INFO:   05:16:44 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:16:44 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:16:44 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:16:44 - docling_serve.app - [TENANT_ID] Task c31e2555-d63a-44d8-a069-5b20ac7587c5 created with tenant_id='default'
INFO:   05:16:44 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task c31e2555-d63a-44d8-a069-5b20ac7587c5
INFO:   05:16:44 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:16:44 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c639c48e78aacd42b6243acf42ab1c3a
INFO:   05:16:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:16:44,619 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:44,619 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:16:44,720 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:44,720 [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] 2026-08-03 05:16:44,766 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:44,767 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:16:44 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:16:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  91%|█████████ | 699/770 [00:00<00:00, 6986.48it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6983.19it/s]
INFO:   05:16:45 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:16:46 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:16:46 - docling.document_converter - Going to convert document batch...
INFO:   05:16:46 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:16:46 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:16:46 - docling.document_converter - Finished converting document file in 0.43 sec.
WARNING:    05:16:46 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:16:46 - docling_jobkit.convert.results - Processed 1 docs in 0.48 seconds.
INFO:   05:16:46 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job c31e2555-d63a-44d8-a069-5b20ac7587c5 in 0.48 seconds
INFO:   05:16:46 - uvicorn.access - 172.17.0.1:48976 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:16:46 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:16:46 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:16:46 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:16:46 - docling_serve.app - [TENANT_ID] Task 7cc7908f-b194-4967-8e9e-cd03db30222a created with tenant_id='default'
INFO:   05:16:46 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 7cc7908f-b194-4967-8e9e-cd03db30222a
INFO:   05:16:46 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:16:46 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c639c48e78aacd42b6243acf42ab1c3a
INFO:   05:16:46 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:16:46,709 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:46,709 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:16:46,826 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:46,826 [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] 2026-08-03 05:16:46,911 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:46,911 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:16:47 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:16:47 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  87%|████████▋ | 670/770 [00:00<00:00, 6696.96it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6606.78it/s]
INFO:   05:16:47 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:16:48 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:16:48 - docling.document_converter - Going to convert document batch...
INFO:   05:16:48 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:16:48 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:16:48 - docling.document_converter - Finished converting document file in 0.58 sec.
INFO:   05:16:48 - docling_jobkit.convert.results - Processed 1 docs in 0.58 seconds.
INFO:   05:16:48 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 7cc7908f-b194-4967-8e9e-cd03db30222a in 0.58 seconds
INFO:   05:16:50 - uvicorn.access - 172.17.0.1:48976 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:16:50 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:16:50 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:16:50 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:16:50 - docling_serve.app - [TENANT_ID] Task b9200fef-cc36-4a09-8eb0-0c5b8b91c987 created with tenant_id='default'
INFO:   05:16:50 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task b9200fef-cc36-4a09-8eb0-0c5b8b91c987
INFO:   05:16:50 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:16:50 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash e50b6140ec7ee9be0d0fea6ba20c9795
INFO:   05:16:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:16:50,680 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:50,680 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:16:50,810 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:50,810 [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] 2026-08-03 05:16:50,860 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:16:50,861 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:16:51 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:16:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  77%|███████▋  | 590/770 [00:00<00:00, 5897.07it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5816.65it/s]
INFO:   05:16:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:16:52 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:16:52 - docling.document_converter - Going to convert document batch...
INFO:   05:16:52 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:16:52 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:16:52 - docling.document_converter - Finished converting document file in 0.40 sec.
INFO:   05:16:52 - docling_jobkit.convert.results - Processed 1 docs in 0.42 seconds.
INFO:   05:16:52 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job b9200fef-cc36-4a09-8eb0-0c5b8b91c987 in 0.42 seconds
INFO:   05:16:52 - uvicorn.access - 172.17.0.1:48976 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:16:52 - uvicorn.access - 172.17.0.1:48976 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:16:52 - uvicorn.access - 172.17.0.1:48976 - "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:   05:15:16 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:15:16 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:15:16 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:15:16 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:15:16 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/metrics$,/healthz$,/readyz$,/livez$,/health$,/ready$)
INFO:   05:15:16 - uvicorn.error - Started server process [1]
INFO:   05:15:16 - uvicorn.error - Waiting for application startup.
INFO:   05:15:19 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:15:19 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:15:19 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:15:19 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:15:19 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:15:19 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 1743cd6dac10356c82ba7dfffff4ed02
INFO:   05:15:19 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:15:19 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-08-03 05:15:20.000182693 [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]+[m
INFO:   05:15:20 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:15:20,285 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:20,286 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:15:20,383 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:20,383 [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] 2026-08-03 05:15:20,429 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:20,429 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:15:20 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:15:20 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  80%|████████  | 616/770 [00:00<00:00, 6155.54it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6139.68it/s]
INFO:   05:15:20 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:15:21 - uvicorn.error - Application startup complete.
INFO:   05:15:21 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:15:21 - docling_serve.app - Health check requested
INFO:   05:15:21 - uvicorn.access - 172.17.0.1:44434 - "GET /health HTTP/1.1" 200
INFO:   05:15:21 - docling_serve.app - Health check requested
INFO:   05:15:21 - uvicorn.access - 172.17.0.1:44444 - "GET /health HTTP/1.1" 200
INFO:   05:15:21 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:15:21 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:15:21 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:15:21 - docling_serve.app - [TENANT_ID] Task 69b8b682-08a5-44fe-be03-5cdebc43ac60 created with tenant_id='default'
INFO:   05:15:21 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 69b8b682-08a5-44fe-be03-5cdebc43ac60
INFO:   05:15:21 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:15:21 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   05:15:21 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:15:21,530 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:21,531 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:15:21,625 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:21,626 [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] 2026-08-03 05:15:21,671 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:21,672 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:15:21 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:15:21 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  83%|████████▎ | 642/770 [00:00<00:00, 6407.49it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6375.71it/s]
INFO:   05:15:22 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:15:22 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:15:22 - docling.document_converter - Going to convert document batch...
INFO:   05:15:22 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:15:22 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:15:22 - docling.document_converter - Finished converting document file in 0.38 sec.
WARNING:    05:15:22 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:15:22 - docling_jobkit.convert.results - Processed 1 docs in 0.41 seconds.
INFO:   05:15:22 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 69b8b682-08a5-44fe-be03-5cdebc43ac60 in 0.41 seconds
INFO:   05:15:23 - uvicorn.access - 172.17.0.1:44444 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:15:23 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:15:23 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:15:23 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:15:23 - docling_serve.app - [TENANT_ID] Task e40ed713-5ec2-4d84-b136-3fcded81f6b6 created with tenant_id='default'
INFO:   05:15:23 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task e40ed713-5ec2-4d84-b136-3fcded81f6b6
INFO:   05:15:23 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:15:23 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   05:15:23 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:15:23,546 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:23,546 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:15:23,633 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:23,633 [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] 2026-08-03 05:15:23,679 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:23,679 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:15:23 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:15:23 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  80%|████████  | 619/770 [00:00<00:00, 6187.75it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6257.61it/s]
INFO:   05:15:24 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:15:24 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:15:24 - docling.document_converter - Going to convert document batch...
INFO:   05:15:24 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:15:24 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:15:24 - docling.document_converter - Finished converting document file in 0.21 sec.
INFO:   05:15:24 - docling_jobkit.convert.results - Processed 1 docs in 0.21 seconds.
INFO:   05:15:24 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job e40ed713-5ec2-4d84-b136-3fcded81f6b6 in 0.21 seconds
INFO:   05:15:25 - uvicorn.access - 172.17.0.1:44444 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:15:25 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:15:25 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:15:25 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:15:25 - docling_serve.app - [TENANT_ID] Task 4be5e046-7eb6-4adf-8ca5-99eaf61ea61c created with tenant_id='default'
INFO:   05:15:25 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 4be5e046-7eb6-4adf-8ca5-99eaf61ea61c
INFO:   05:15:25 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:15:25 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 6102b5a2a09ce02f29b31fc27cc3d04f
INFO:   05:15:25 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:15:25,562 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:25,562 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:15:25,648 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:25,649 [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] 2026-08-03 05:15:25,695 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:15:25,695 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:15:25 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:15:25 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  81%|████████  | 625/770 [00:00<00:00, 6249.04it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6245.33it/s]
INFO:   05:15:26 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:15:26 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:15:26 - docling.document_converter - Going to convert document batch...
INFO:   05:15:26 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:15:26 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:15:26 - docling.document_converter - Finished converting document file in 0.21 sec.
INFO:   05:15:26 - docling_jobkit.convert.results - Processed 1 docs in 0.22 seconds.
INFO:   05:15:26 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 4be5e046-7eb6-4adf-8ca5-99eaf61ea61c in 0.22 seconds
INFO:   05:15:27 - uvicorn.access - 172.17.0.1:44444 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:15:27 - uvicorn.access - 172.17.0.1:44444 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:15:27 - uvicorn.access - 172.17.0.1:44444 - "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:   05:14:01 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:14:01 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:14:01 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:14:01 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:14:01 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/readyz$,/livez$,/healthz$,/metrics$,/health$,/ready$)
INFO:   05:14:01 - uvicorn.error - Started server process [1]
INFO:   05:14:01 - uvicorn.error - Waiting for application startup.
INFO:   05:14:04 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:14:04 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:14:04 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:14:04 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:14:04 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:14:04 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 1743cd6dac10356c82ba7dfffff4ed02
INFO:   05:14:04 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:14:04 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-08-03 05:14:04.466457342 [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]+[m
INFO:   05:14:04 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:14:04,727 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:04,729 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:14:04,815 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:04,816 [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] 2026-08-03 05:14:04,863 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:04,863 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:14:04 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:14:04 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▌ | 656/770 [00:00<00:00, 6557.66it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6647.92it/s]
INFO:   05:14:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:14:05 - uvicorn.error - Application startup complete.
INFO:   05:14:05 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:14:05 - docling_serve.app - Health check requested
INFO:   05:14:05 - uvicorn.access - 172.17.0.1:40058 - "GET /health HTTP/1.1" 200
INFO:   05:14:05 - docling_serve.app - Health check requested
INFO:   05:14:05 - uvicorn.access - 172.17.0.1:40062 - "GET /health HTTP/1.1" 200
INFO:   05:14:05 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:14:05 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:14:05 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:14:05 - docling_serve.app - [TENANT_ID] Task 8d0b937f-b877-4082-8666-078f59278d17 created with tenant_id='default'
INFO:   05:14:05 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 8d0b937f-b877-4082-8666-078f59278d17
INFO:   05:14:05 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:14:05 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   05:14:05 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:14:05,893 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:05,894 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:14:05,982 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:05,983 [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] 2026-08-03 05:14:06,028 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:06,028 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:14:06 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:14:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  78%|███████▊  | 603/770 [00:00<00:00, 6022.21it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6433.88it/s]
INFO:   05:14:06 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:14:07 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:14:07 - docling.document_converter - Going to convert document batch...
INFO:   05:14:07 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:14:07 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:14:07 - docling.document_converter - Finished converting document file in 0.39 sec.
WARNING:    05:14:07 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:14:07 - docling_jobkit.convert.results - Processed 1 docs in 0.43 seconds.
INFO:   05:14:07 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 8d0b937f-b877-4082-8666-078f59278d17 in 0.43 seconds
INFO:   05:14:07 - uvicorn.access - 172.17.0.1:40062 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:14:07 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:14:07 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:14:07 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:14:07 - docling_serve.app - [TENANT_ID] Task c967807d-2a75-4f28-98e4-0c998e55f8d3 created with tenant_id='default'
INFO:   05:14:07 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task c967807d-2a75-4f28-98e4-0c998e55f8d3
INFO:   05:14:07 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:14:07 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 447bb8cb2d04f05cb199adb5a03148da
INFO:   05:14:07 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:14:07,933 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:07,933 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:14:08,050 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:08,050 [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] 2026-08-03 05:14:08,100 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:08,100 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:14:08 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:14:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  76%|███████▌  | 586/770 [00:00<00:00, 5827.83it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5850.37it/s]
INFO:   05:14:08 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:14:09 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:14:09 - docling.document_converter - Going to convert document batch...
INFO:   05:14:09 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:14:09 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:14:09 - docling.document_converter - Finished converting document file in 0.35 sec.
INFO:   05:14:09 - docling_jobkit.convert.results - Processed 1 docs in 0.35 seconds.
INFO:   05:14:09 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job c967807d-2a75-4f28-98e4-0c998e55f8d3 in 0.35 seconds
INFO:   05:14:09 - uvicorn.access - 172.17.0.1:40062 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:14:09 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:14:09 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:14:09 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:14:09 - docling_serve.app - [TENANT_ID] Task 6a35a727-f94d-4942-af5d-d2bead917836 created with tenant_id='default'
INFO:   05:14:09 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 6a35a727-f94d-4942-af5d-d2bead917836
INFO:   05:14:09 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:14:09 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 6102b5a2a09ce02f29b31fc27cc3d04f
INFO:   05:14:09 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:14:09,947 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:09,947 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:14:10,086 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:10,086 [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] 2026-08-03 05:14:10,136 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:14:10,136 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:14:10 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:14:10 - 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, 6778.36it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6732.32it/s]
INFO:   05:14:10 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:14:11 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:14:11 - docling.document_converter - Going to convert document batch...
INFO:   05:14:11 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:14:11 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:14:11 - docling.document_converter - Finished converting document file in 0.44 sec.
INFO:   05:14:11 - docling_jobkit.convert.results - Processed 1 docs in 0.46 seconds.
INFO:   05:14:11 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 6a35a727-f94d-4942-af5d-d2bead917836 in 0.46 seconds
INFO:   05:14:11 - uvicorn.access - 172.17.0.1:40062 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:14:12 - uvicorn.access - 172.17.0.1:40062 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:14:12 - uvicorn.access - 172.17.0.1:40062 - "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:   05:12:42 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:12:42 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:12:42 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:12:42 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:12:42 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/ready$,/healthz$,/health$,/livez$,/readyz$,/metrics$)
INFO:   05:12:42 - uvicorn.error - Started server process [1]
INFO:   05:12:42 - uvicorn.error - Waiting for application startup.
INFO:   05:12:45 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:12:45 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:12:45 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:12:45 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:12:45 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:12:45 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 1743cd6dac10356c82ba7dfffff4ed02
INFO:   05:12:45 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:12:45 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-08-03 05:12:45.456696598 [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]+[m
INFO:   05:12:45 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:12:45,725 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:45,726 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:12:45,812 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:45,812 [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] 2026-08-03 05:12:45,858 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:45,859 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:12:45 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:12:45 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▌ | 657/770 [00:00<00:00, 6526.19it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6572.12it/s]
INFO:   05:12:46 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:12:46 - uvicorn.error - Application startup complete.
INFO:   05:12:46 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:12:47 - docling_serve.app - Health check requested
INFO:   05:12:47 - uvicorn.access - 172.17.0.1:57640 - "GET /health HTTP/1.1" 200
INFO:   05:12:47 - docling_serve.app - Health check requested
INFO:   05:12:47 - uvicorn.access - 172.17.0.1:57648 - "GET /health HTTP/1.1" 200
INFO:   05:12:47 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:12:47 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:12:47 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:12:47 - docling_serve.app - [TENANT_ID] Task b9c007ff-65fa-4cb0-ab19-0979d5cc508a created with tenant_id='default'
INFO:   05:12:47 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task b9c007ff-65fa-4cb0-ab19-0979d5cc508a
INFO:   05:12:47 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:12:47 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a1cb01c48360ff351eb870dc682aac59
INFO:   05:12:47 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:12:47,377 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:47,378 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:12:47,477 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:47,478 [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] 2026-08-03 05:12:47,530 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:47,531 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:12:47 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:12:47 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  81%|████████  | 621/770 [00:00<00:00, 6209.50it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6372.21it/s]
INFO:   05:12:47 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:12:48 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:12:48 - docling.document_converter - Going to convert document batch...
INFO:   05:12:48 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:12:48 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:12:48 - docling.document_converter - Finished converting document file in 0.36 sec.
WARNING:    05:12:48 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:12:48 - docling_jobkit.convert.results - Processed 1 docs in 0.39 seconds.
INFO:   05:12:48 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job b9c007ff-65fa-4cb0-ab19-0979d5cc508a in 0.39 seconds
INFO:   05:12:49 - uvicorn.access - 172.17.0.1:57648 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:12:49 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:12:49 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:12:49 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:12:49 - docling_serve.app - [TENANT_ID] Task b88a9136-9075-4f1b-8571-f3e88592078d created with tenant_id='default'
INFO:   05:12:49 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task b88a9136-9075-4f1b-8571-f3e88592078d
INFO:   05:12:49 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:12:49 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash a1cb01c48360ff351eb870dc682aac59
INFO:   05:12:49 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:12:49,399 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:49,399 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:12:49,490 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:49,490 [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] 2026-08-03 05:12:49,543 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:49,543 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:12:49 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:12:49 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  85%|████████▍ | 651/770 [00:00<00:00, 6473.95it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6564.38it/s]
INFO:   05:12:50 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:12:50 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:12:50 - docling.document_converter - Going to convert document batch...
INFO:   05:12:50 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:12:50 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:12:50 - docling.document_converter - Finished converting document file in 0.36 sec.
INFO:   05:12:50 - docling_jobkit.convert.results - Processed 1 docs in 0.36 seconds.
INFO:   05:12:50 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job b88a9136-9075-4f1b-8571-f3e88592078d in 0.36 seconds
INFO:   05:12:51 - uvicorn.access - 172.17.0.1:57648 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:12:51 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:12:51 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:12:51 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:12:51 - docling_serve.app - [TENANT_ID] Task e4df515c-1f1e-4780-bf70-badbaf91bb88 created with tenant_id='default'
INFO:   05:12:51 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task e4df515c-1f1e-4780-bf70-badbaf91bb88
INFO:   05:12:51 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:12:51 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash fb1751b09de6bdbe35ede48676ca8f82
INFO:   05:12:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:12:51,418 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:51,418 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:12:51,506 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:51,507 [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] 2026-08-03 05:12:51,555 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:12:51,556 [RapidOCR] main.py:65: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:12:51 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:12:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  83%|████████▎ | 638/770 [00:00<00:00, 6372.42it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6379.86it/s]
INFO:   05:12:51 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:12:52 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:12:52 - docling.document_converter - Going to convert document batch...
INFO:   05:12:52 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:12:52 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:12:52 - docling.document_converter - Finished converting document file in 0.24 sec.
INFO:   05:12:52 - docling_jobkit.convert.results - Processed 1 docs in 0.26 seconds.
INFO:   05:12:52 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job e4df515c-1f1e-4780-bf70-badbaf91bb88 in 0.26 seconds
INFO:   05:12:53 - uvicorn.access - 172.17.0.1:57648 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:12:53 - uvicorn.access - 172.17.0.1:57648 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:12:53 - uvicorn.access - 172.17.0.1:57648 - "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:   05:11:33 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:11:33 - docling.models.factories - Registered ocr engines: ['auto', 'easyocr', 'kserve_v2_ocr', 'ocrmac', 'rapidocr', 'tesserocr', 'tesseract']
INFO:   05:11:33 - docling_serve.otel_instrumentation - Setting up OpenTelemetry metrics
INFO:   05:11:33 - docling_serve.otel_instrumentation - Enabling Prometheus metrics export
INFO:   05:11:33 - docling_serve.otel_instrumentation - Instrumenting FastAPI with OpenTelemetry (excluded_urls=/ready$,/health$,/livez$,/metrics$,/readyz$,/healthz$)
INFO:   05:11:33 - uvicorn.error - Started server process [1]
INFO:   05:11:33 - uvicorn.error - Waiting for application startup.
INFO:   05:11:37 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:11:37 - docling.models.factories - Registered table structure engines: ['docling_tableformer', 'docling_tableformer_v2', 'granite_vision_table']
INFO:   05:11:37 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:11:37 - docling.models.factories - Registered layout engines: ['layout_object_detection', 'docling_layout_default', 'docling_experimental_table_crops_layout']
INFO:   05:11:37 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:11:37 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash bcb2e23b24bd94a42b5c00d662a7c1cf
INFO:   05:11:37 - docling.models.factories.base_factory - Loading plugin 'docling_defaults'
INFO:   05:11:37 - docling.models.factories - Registered picture descriptions: ['picture_description_vlm_engine', 'vlm', 'api']
2026-08-03 05:11:37.169986153 [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]+[m
INFO:   05:11:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:11:37,520 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:37,521 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:11:37,640 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:37,640 [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] 2026-08-03 05:11:37,710 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:37,710 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:11:37 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:11:37 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 9216.88it/s]
INFO:   05:11:38 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:11:38 - uvicorn.error - Application startup complete.
INFO:   05:11:38 - uvicorn.error - Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:   05:11:39 - docling_serve.app - Health check requested
INFO:   05:11:39 - uvicorn.access - 172.17.0.1:55236 - "GET /health HTTP/1.1" 200
INFO:   05:11:39 - docling_serve.app - Health check requested
INFO:   05:11:39 - uvicorn.access - 172.17.0.1:55238 - "GET /health HTTP/1.1" 200
INFO:   05:11:39 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:11:39 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:11:39 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:11:39 - docling_serve.app - [TENANT_ID] Task 8a6352da-eff1-4936-92a4-1bcfbb9c9b2f created with tenant_id='default'
INFO:   05:11:39 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task 8a6352da-eff1-4936-92a4-1bcfbb9c9b2f
INFO:   05:11:39 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:11:39 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c835e945376007df084ecda847e91f5b
INFO:   05:11:39 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:11:39,838 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:39,838 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:11:39,940 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:39,941 [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] 2026-08-03 05:11:39,989 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:39,989 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:11:40 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:11:40 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  77%|███████▋  | 592/770 [00:00<00:00, 5914.66it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5830.68it/s]
INFO:   05:11:40 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:11:41 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:11:41 - docling.document_converter - Going to convert document batch...
INFO:   05:11:41 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:11:41 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:11:41 - docling.document_converter - Finished converting document file in 0.67 sec.
WARNING:    05:11:41 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
INFO:   05:11:41 - docling_jobkit.convert.results - Processed 1 docs in 0.72 seconds.
INFO:   05:11:41 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job 8a6352da-eff1-4936-92a4-1bcfbb9c9b2f in 0.72 seconds
INFO:   05:11:41 - uvicorn.access - 172.17.0.1:55238 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:11:41 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:11:41 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:11:41 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:11:41 - docling_serve.app - [TENANT_ID] Task 6eded513-2bc2-49f4-a8f8-30dfe68b2c55 created with tenant_id='default'
INFO:   05:11:41 - docling_jobkit.orchestrators.local.worker - Worker 1 processing task 6eded513-2bc2-49f4-a8f8-30dfe68b2c55
INFO:   05:11:41 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:11:41 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash c835e945376007df084ecda847e91f5b
INFO:   05:11:41 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:11:41,857 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:41,857 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:11:41,972 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:41,973 [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] 2026-08-03 05:11:42,036 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:42,036 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:11:42 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:11:42 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  79%|███████▉  | 611/770 [00:00<00:00, 6037.27it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7107.36it/s]
INFO:   05:11:42 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:11:43 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:11:43 - docling.document_converter - Going to convert document batch...
INFO:   05:11:43 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:11:43 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:11:43 - docling.document_converter - Finished converting document file in 0.44 sec.
INFO:   05:11:43 - docling_jobkit.convert.results - Processed 1 docs in 0.45 seconds.
INFO:   05:11:43 - docling_jobkit.orchestrators.local.worker - Worker 1 completed job 6eded513-2bc2-49f4-a8f8-30dfe68b2c55 in 0.45 seconds
INFO:   05:11:43 - uvicorn.access - 172.17.0.1:55238 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:11:43 - docling_serve.app - [TENANT_ID] Extracted tenant_id from header: 'default' (header_value: 'None')
INFO:   05:11:43 - docling_serve.app - [TENANT_ID] process_url endpoint received tenant_id='default'
INFO:   05:11:43 - docling_serve.app - [TENANT_ID] Preparing to enqueue with tenant_id='default' in metadata
INFO:   05:11:43 - docling_serve.app - [TENANT_ID] Task ffcdfaf6-58f1-45be-b996-773c317c8ffe created with tenant_id='default'
INFO:   05:11:43 - docling_jobkit.orchestrators.local.worker - Worker 0 processing task ffcdfaf6-58f1-45be-b996-773c317c8ffe
INFO:   05:11:43 - docling_jobkit.convert.manager - artifacts_path is set to a valid directory. No model weights will be downloaded at runtime.
INFO:   05:11:43 - docling.document_converter - Initializing pipeline for StandardPdfPipeline with options hash 3eabf304acb4a56e9ef52b02ef69bccb
INFO:   05:11:43 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
[INFO] 2026-08-03 05:11:43,887 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:43,887 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:11:44,045 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:44,045 [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] 2026-08-03 05:11:44,194 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:11:44,194 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx
INFO:   05:11:44 - docling.models.stages.ocr.auto_ocr_model - Auto OCR model selected rapidocr with onnxruntime.
INFO:   05:11:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  86%|████████▋ | 665/770 [00:00<00:00, 6573.83it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6731.97it/s]
INFO:   05:11:44 - docling.utils.accelerator_utils - Accelerator device: 'cpu'
INFO:   05:11:45 - docling.datamodel.document - detected formats: [<InputFormat.HTML: 'html'>]
INFO:   05:11:45 - docling.document_converter - Going to convert document batch...
INFO:   05:11:45 - docling.document_converter - Initializing pipeline for SimplePipeline with options hash 7d306d2d021deac65a97d1a5f925362a
INFO:   05:11:45 - docling.pipeline.base_pipeline - Processing document file
INFO:   05:11:45 - docling.document_converter - Finished converting document file in 0.26 sec.
INFO:   05:11:45 - docling_jobkit.convert.results - Processed 1 docs in 0.28 seconds.
INFO:   05:11:45 - docling_jobkit.orchestrators.local.worker - Worker 0 completed job ffcdfaf6-58f1-45be-b996-773c317c8ffe in 0.28 seconds
INFO:   05:11:45 - uvicorn.access - 172.17.0.1:55238 - "POST /v1/convert/source HTTP/1.1" 200
INFO:   05:11:46 - uvicorn.access - 172.17.0.1:55238 - "GET /v1/clear/converters HTTP/1.1" 200
INFO:   05:11:46 - uvicorn.access - 172.17.0.1:55238 - "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:
2026-08-03 05:10:13.696514246 [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]+[m
[INFO] 2026-08-03 05:10:13,970 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:13,971 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:10:14,057 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:14,057 [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] 2026-08-03 05:10:14,110 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:14,110 [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:  80%|███████▉  | 615/770 [00:00<00:00, 6148.33it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6312.90it/s]
[INFO] 2026-08-03 05:10:15,521 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:15,522 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:10:15,610 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:15,610 [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] 2026-08-03 05:10:15,655 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:15,656 [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:  85%|████████▍ | 653/770 [00:00<00:00, 6496.10it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6543.89it/s]
WARNING:    05:10:16 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
WARNING:    05:10:16 - docling_core.types.doc.document - Parameter `strict_text` has been deprecated and will be ignored.
[INFO] 2026-08-03 05:10:17,538 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:17,538 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:10:17,627 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:17,627 [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] 2026-08-03 05:10:17,673 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:17,673 [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:  77%|███████▋  | 594/770 [00:00<00:00, 5929.73it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6053.56it/s]
[INFO] 2026-08-03 05:10:19,552 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:19,552 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:10:19,638 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:19,639 [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] 2026-08-03 05:10:19,694 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:10:19,694 [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:  85%|████████▍ | 651/770 [00:00<00:00, 6494.15it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6461.53it/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.
2026-08-03 05:09:08.050247684 [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]+[m
[INFO] 2026-08-03 05:09:08,421 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:08,423 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:09:08,545 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:08,545 [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] 2026-08-03 05:09:08,597 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:08,597 [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:  86%|████████▌ | 659/770 [00:00<00:00, 6586.90it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6976.25it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:41584 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:41592 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:09:11,327 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:11,328 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:09:11,487 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:11,487 [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] 2026-08-03 05:09:11,579 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:11,579 [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: 100%|██████████| 770/770 [00:00<00:00, 11746.19it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:41592 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:09:13,250 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:13,250 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:09:13,402 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:13,402 [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] 2026-08-03 05:09:13,462 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:13,462 [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:  89%|████████▉ | 688/770 [00:00<00:00, 6868.54it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6874.71it/s]
INFO:     172.17.0.1:41592 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:09:17,286 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:17,287 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:09:17,420 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:17,421 [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] 2026-08-03 05:09:17,512 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:09:17,513 [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:  87%|████████▋ | 668/770 [00:00<00:00, 6652.85it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7059.51it/s]
INFO:     172.17.0.1:41592 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:41592 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:41592 - "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.
2026-08-03 05:07:39.470395298 [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]+[m
[INFO] 2026-08-03 05:07:39,732 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:39,733 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:07:39,826 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:39,826 [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] 2026-08-03 05:07:39,873 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:39,873 [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:  80%|████████  | 619/770 [00:00<00:00, 6186.79it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6380.44it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:50892 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:50896 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:07:41,281 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:41,281 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:07:41,379 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:41,379 [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] 2026-08-03 05:07:41,426 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:41,426 [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:  85%|████████▍ | 652/770 [00:00<00:00, 6519.46it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6529.78it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:50896 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:07:43,293 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:43,293 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:07:43,387 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:43,387 [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] 2026-08-03 05:07:43,435 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:43,435 [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:  80%|████████  | 618/770 [00:00<00:00, 6171.68it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6176.46it/s]
INFO:     172.17.0.1:50896 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:07:45,314 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:45,314 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:07:45,401 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:45,401 [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] 2026-08-03 05:07:45,450 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:07:45,451 [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:  83%|████████▎ | 638/770 [00:00<00:00, 6371.62it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6451.11it/s]
INFO:     172.17.0.1:50896 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50896 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:50896 - "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.
2026-08-03 05:06:40.439026690 [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]+[m
[INFO] 2026-08-03 05:06:40,841 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:40,843 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:06:40,984 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:40,985 [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] 2026-08-03 05:06:41,055 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:41,055 [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:  97%|█████████▋| 748/770 [00:00<00:00, 7470.58it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 7558.67it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:59302 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:59316 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:06:43,336 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:43,337 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:06:43,477 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:43,477 [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] 2026-08-03 05:06:43,543 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:43,543 [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:   9%|▊         | 66/770 [00:00<00:03, 192.44it/s]
Loading weights:  21%|██        | 162/770 [00:00<00:02, 298.34it/s]
Loading weights:  26%|██▌       | 200/770 [00:00<00:01, 310.17it/s]
Loading weights:  36%|███▌      | 276/770 [00:00<00:01, 381.77it/s]
Loading weights:  41%|████▏     | 318/770 [00:01<00:01, 310.67it/s]
Loading weights:  46%|████▌     | 352/770 [00:01<00:02, 168.95it/s]
Loading weights:  89%|████████▊ | 683/770 [00:01<00:00, 609.70it/s]
Loading weights: 100%|██████████| 770/770 [00:01<00:00, 463.34it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:59316 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:06:49,404 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:49,404 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:06:49,527 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:49,527 [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] 2026-08-03 05:06:49,572 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:49,573 [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:  91%|█████████ | 699/770 [00:00<00:00, 6979.01it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6832.53it/s]
INFO:     172.17.0.1:59316 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:06:53,408 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:53,408 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:06:53,530 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:53,530 [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] 2026-08-03 05:06:53,597 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:06:53,597 [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:  82%|████████▏ | 633/770 [00:00<00:00, 6308.62it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6426.82it/s]
INFO:     172.17.0.1:59316 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:59316 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:59316 - "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.
2026-08-03 05:04:58.662484479 [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]+[m
[INFO] 2026-08-03 05:04:59,129 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:59,130 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:04:59,222 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:59,222 [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] 2026-08-03 05:04:59,268 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:59,268 [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:  85%|████████▍ | 654/770 [00:00<00:00, 6515.74it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6547.95it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:34608 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:34616 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:05:00,447 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:00,448 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:05:00,527 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:00,527 [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] 2026-08-03 05:05:00,570 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:00,571 [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:  86%|████████▌ | 659/770 [00:00<00:00, 6579.98it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6615.66it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:34616 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:05:02,462 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:02,463 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:05:02,556 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:02,556 [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] 2026-08-03 05:05:02,598 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:02,598 [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:  84%|████████▍ | 647/770 [00:00<00:00, 6451.01it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6446.80it/s]
INFO:     172.17.0.1:34616 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:05:04,477 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:04,477 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-08-03 05:05:04,557 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:04,557 [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] 2026-08-03 05:05:04,603 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:05:04,604 [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:  85%|████████▍ | 652/770 [00:00<00:00, 6513.28it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6499.21it/s]
INFO:     172.17.0.1:34616 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:34616 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:34616 - "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.
2026-08-03 05:04:18.203336642 [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]+[m
[INFO] 2026-08-03 05:04:18,841 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:18,843 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 05:04:19,002 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:19,003 [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] 2026-08-03 05:04:19,049 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:19,050 [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:  87%|████████▋ | 669/770 [00:00<00:00, 6681.83it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6484.41it/s]
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:42814 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:42822 - "GET /health HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:04:21,237 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:21,238 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 05:04:21,385 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:21,385 [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] 2026-08-03 05:04:21,431 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:21,431 [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:  88%|████████▊ | 681/770 [00:00<00:00, 6806.36it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6834.57it/s]
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:42822 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:04:23,275 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:23,276 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 05:04:23,388 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:23,388 [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] 2026-08-03 05:04:23,441 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:23,441 [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:  75%|███████▍  | 574/770 [00:00<00:00, 5728.94it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5778.64it/s]
INFO:     172.17.0.1:42822 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-08-03 05:04:25,307 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:25,307 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 05:04:25,429 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:25,429 [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] 2026-08-03 05:04:25,479 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:04:25,480 [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:  88%|████████▊ | 675/770 [00:00<00:00, 6728.41it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 6759.80it/s]
INFO:     172.17.0.1:42822 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42822 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:42822 - "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.
2026-08-03 05:02:11.018445153 [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]+[m
[INFO] 2026-08-03 05:02:11,418 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:02:11,419 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 05:02:11,497 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:02:11,498 [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] 2026-08-03 05:02:11,536 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:02:11,536 [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:     172.17.0.1:39710 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:39726 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:39726 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39726 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39726 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39726 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:39726 - "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.
2026-08-03 05:00:34.980562629 [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]+[m
[INFO] 2026-08-03 05:00:35,418 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:00:35,420 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 05:00:35,496 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:00:35,496 [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] 2026-08-03 05:00:35,525 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 05:00:35,525 [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:     172.17.0.1:41060 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:41072 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:41072 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:41072 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:41072 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:41072 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:41072 - "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.
2026-08-03 04:58:57.031302705 [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]+[m
[INFO] 2026-08-03 04:58:57,465 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:58:57,466 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:58:57,545 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:58:57,546 [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] 2026-08-03 04:58:57,579 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:58:57,579 [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:     172.17.0.1:42926 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:42932 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:42932 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42932 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42932 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42932 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:42932 - "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.
2026-08-03 04:57:23.405672505 [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]+[m
[INFO] 2026-08-03 04:57:23,856 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:57:23,857 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:57:23,934 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:57:23,934 [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] 2026-08-03 04:57:23,971 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:57:23,971 [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:     172.17.0.1:47838 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:47846 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:47846 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47846 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47846 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47846 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:47846 - "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.
2026-08-03 04:55:54.034483090 [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]+[m
[INFO] 2026-08-03 04:55:54,468 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:55:54,469 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:55:54,544 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:55:54,544 [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] 2026-08-03 04:55:54,574 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:55:54,575 [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:     172.17.0.1:40934 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:40936 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:40936 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40936 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40936 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40936 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:40936 - "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.
2026-08-03 04:54:13.966575190 [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]+[m
[INFO] 2026-08-03 04:54:14,393 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:54:14,394 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:54:14,487 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:54:14,487 [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] 2026-08-03 04:54:14,528 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:54:14,528 [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:     172.17.0.1:50064 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:50080 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:50080 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50080 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50080 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50080 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:50080 - "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.
2026-08-03 04:52:35.817306395 [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]+[m
[INFO] 2026-08-03 04:52:36,257 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:52:36,258 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:52:36,345 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:52:36,345 [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] 2026-08-03 04:52:36,390 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:52:36,390 [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:     172.17.0.1:53946 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:53948 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:53948 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53948 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53948 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53948 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:53948 - "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.
2026-08-03 04:51:06.378889815 [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]+[m
[INFO] 2026-08-03 04:51:06,790 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:51:06,791 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:51:06,875 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:51:06,875 [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] 2026-08-03 04:51:06,909 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:51:06,910 [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:     172.17.0.1:49304 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:49308 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:49308 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49308 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49308 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49308 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:49308 - "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] 2026-08-03 04:49:18,063 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:49:18,064 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:49:18,128 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:49:18,128 [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] 2026-08-03 04:49:18,165 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:49:18,165 [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:     172.17.0.1:39710 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:39720 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:39720 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39720 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39720 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39720 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:39720 - "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] 2026-08-03 04:47:53,350 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:47:53,352 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:47:53,459 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:47:53,459 [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] 2026-08-03 04:47:53,503 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:47:53,503 [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:     172.17.0.1:55968 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:55980 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:55980 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55980 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55980 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55980 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:55980 - "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] 2026-08-03 04:45:51,091 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:45:51,092 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:45:51,150 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:45:51,151 [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] 2026-08-03 04:45:51,175 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:45:51,175 [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:     172.17.0.1:49200 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:49214 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:49214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49214 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:49214 - "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] 2026-08-03 04:43:48,217 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:43:48,219 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:43:48,279 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:43:48,279 [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] 2026-08-03 04:43:48,308 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:43:48,308 [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:     172.17.0.1:49996 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:50004 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:50004 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50004 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50004 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50004 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:50004 - "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] 2026-08-03 04:41:56,252 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:41:56,253 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:41:56,314 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:41:56,314 [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] 2026-08-03 04:41:56,344 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:41:56,344 [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:     172.17.0.1:58300 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:58304 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:58304 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58304 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58304 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58304 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:58304 - "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] 2026-08-03 04:40:00,387 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:40:00,388 [RapidOCR] main.py:53: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_infer.onnx
[INFO] 2026-08-03 04:40:00,439 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:40:00,439 [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] 2026-08-03 04:40:00,466 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-08-03 04:40:00,466 [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:     172.17.0.1:39376 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:39390 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:39390 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39390 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39390 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39390 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:39390 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.7.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:42530 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:42534 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:42534 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42534 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42534 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42534 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:42534 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.6.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:56274 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:56284 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:56284 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:56284 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:56284 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:56284 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:56284 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.5.1 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:42736 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:42748 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:42748 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42748 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42748 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:42748 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:42748 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.5.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:54820 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:54822 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:54822 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:54822 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:54822 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:54822 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:54822 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.4.1 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:39376 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:39388 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:39388 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39388 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39388 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39388 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:39388 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.4.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:44672 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:44674 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:44674 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44674 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44674 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:44674 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:44674 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.3.1 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:50744 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:50756 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:50756 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50756 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50756 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:50756 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:50756 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.3.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:35774 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:35780 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:35780 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35780 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35780 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35780 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:35780 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.2.2 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:36778 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:36782 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:36782 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:36782 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:36782 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:36782 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:36782 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.2.1 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:32988 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:32990 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:32990 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:32990 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:32990 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:32990 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:32990 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.2.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:58172 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:58184 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:58184 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58184 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58184 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:58184 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:58184 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.1.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:51838 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:51844 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:51844 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:51844 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:51844 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:51844 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:51844 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.0.1 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:35112 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:35116 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:35116 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35116 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35116 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:35116 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:35116 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

Click to collapse

Tag v1.0.0 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:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5001 (Press CTRL+C to quit)
INFO:     172.17.0.1:39136 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:39140 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:39140 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39140 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39140 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:39140 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:39140 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

Docling Serve API#

When to use this module#

Installation#

Quick start#

Core concepts#

The DoclingServeApi interface#

Extension Points#

Requests: ConvertDocumentRequest#

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

Presigned URL target example#

Health checks#

Error handling#

Validation errors#

Logging and builders#

Version compatibility#

Results for ghcr.io/docling-project/docling-serve as of 2026-08-03T05:21:58.408167679Z#

Details#

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The `DoclingServeApi` interface#

Requests: `ConvertDocumentRequest`#

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