Docling Serve Client#

The docling-serve-client module is the reference HTTP client for talking to a Docling Serve backend.

It implements the framework‑agnostic DoclingServeApi interface from docling-serve-api using Java's built‑in HttpClient for transport and Jackson for JSON (auto‑detecting Jackson 2 or 3 at runtime).

If you only need the request/response model (without HTTP), use the API module: - docling-serve-api

When to use this module#

Using Quarkus or Spring Boot?

If you ARE using Quarkus or Spring Boot:

For Quarkus, use the Quarkus Docling extension

For Spring Boot, use Arconia

You want a ready‑to‑use HTTP client for Docling Serve with minimal setup.
You prefer a small dependency footprint (Java HttpClient + Jackson).
You need a simple builder to tweak base URL, HTTP timeouts, and request/response logging.

Installation#

Add the client dependency to your project.

GradleMaven

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

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

This artifact brings in the API types transitively, so you can use DoclingServeApi, ConvertDocumentRequest, etc., directly.

Jackson Implementation Required

Make sure you also include either a Jackson 2 or Jackson 3 dependency.

GraalVM Native Image#

The client uses the Jackson reflection metadata shipped by docling-serve-api and docling-core. GraalVM's default ServiceLoader support discovers the provider declared in META-INF/services and registers its constructor, so DoclingServeApi.builder() does not require additional client reflection or resource configuration. Include the client and your chosen Jackson dependency when building the native executable; provider discovery uses the dependencies available at image build time.

Native smoke tests on GraalVM 25 cover service discovery, automatic Jackson selection with Jackson 2 or Jackson 3 individually, and health and conversion requests through Java's HttpClient against a local HTTP server. These checks include request serialization and nested document deserialization.

Quick start#

Create a client with DoclingServeApi.builder(), build a request, and call convertSource():

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
    .build();

ConvertDocumentRequest request = ConvertDocumentRequest.builder()
    .source(HttpSource.builder().url(URI.create("https://arxiv.org/pdf/2408.09869")).build())
    .options(ConvertDocumentOptions.builder()
        .toFormat(OutputFormat.MARKDOWN)
        .includeImages(true)
        .build())
    .target(InBodyTarget.builder().build())
    .build();

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

Core concepts and configuration#

Jackson auto‑detection#

DoclingServeApi.builder() chooses an implementation based on what's on your classpath:

Jackson 3 present → DoclingServeJackson3Client
Else if Jackson 2 present → DoclingServeJackson2Client
Otherwise → IllegalStateException

DoclingServeApi.builder() only exposes the options shared by every implementation. For client-specific settings, such as the HttpClient, start from DoclingServeClient.builder() instead: it performs the same Jackson detection and returns the builder of the detected client. To customize the JSON mapper, whose type depends on the version of Jackson, use DoclingServeJackson3Client.builder() or DoclingServeJackson2Client.builder() and their jsonParser(...) method. Calling toBuilder() on a concrete client keeps its JSON mapper.

Base URL#

Set the Docling Serve base URL with either a String or URI:

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

Note: When using plain http://, the client enforces HTTP/1.1 for compatibility with FastAPI, which avoids HTTP/2 downgrade mishaps in some environments.

HTTP client customization (timeouts, proxies, TLS)#

You can supply and tune a java.net.http.HttpClient.Builder through the client-specific builder:

import java.net.http.HttpClient;
import java.time.Duration;
import ai.docling.serve.client.DoclingServeClient;

DoclingServeApi api = DoclingServeClient.builder()
    .baseUrl("https://serve.example.com")
    .httpClientBuilder(HttpClient.newBuilder()
        .connectTimeout(Duration.ofSeconds(20))
        // .proxy(ProxySelector.of(new InetSocketAddress("proxy", 8080)))
        // .sslContext(customSslContext)
    )
    .build();

Request/response logging#

Enable lightweight logging for diagnostics:

DoclingServeApi noisy = DoclingServeApi.builder()
    .baseUrl("http://localhost:8000")
    .logRequests()
    .logResponses()
    .prettyPrint()
    .build();

Health checks#

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

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

Working with sources and targets#

All request/response types come from docling-serve-api. Common patterns:

HTTP source

import ai.docling.serve.api.convert.request.source.HttpSource;

var httpSource = HttpSource.builder()
    .url(URI.create("https://example.com/file.pdf"))
    // .header("Authorization", "Bearer ...")
    .build();

File upload (Base64)

import java.util.Base64;
import ai.docling.serve.api.convert.request.source.FileSource;
byte[] bytes = /* read file */
var fileSource = FileSource.builder()
    .filename("report.pdf")
    .base64String(Base64.getEncoder().encodeToString(bytes))
    .build();

Deliver results in the response body (default)

import ai.docling.serve.api.convert.request.target.InBodyTarget;
var target = InBodyTarget.builder().build();

Receive results as presigned download URLs (requires docling-serve v1.22.0+)

import ai.docling.serve.api.convert.request.target.PresignedUrlTarget;
var presigned = PresignedUrlTarget.builder().build();

Upload results to your storage via HTTP PUT

import ai.docling.serve.api.convert.request.target.PutTarget;
var put = PutTarget.builder()
    .uri(URI.create("https://storage.example.com/out/report.md"))
    // .header("Authorization", "Bearer ...")
    .build();

Handling presigned URL responses#

When using PresignedUrlTarget, the response is a PreSignedUrlConvertResponse containing per-document results with artifact download links:

import java.net.URI;
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;

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);

response.getDocuments().forEach(doc -> {
    System.out.println(doc.getFilename() + " [" + doc.getStatus() + "]");
    doc.getArtifacts().forEach(artifact ->
        System.out.println("  " + artifact.getArtifactType() + ": " + artifact.getUri()
            + (artifact.getUrlExpiresAt() != null ? " (expires: " + artifact.getUrlExpiresAt() + ")" : "")));
});

Error handling tips#

Transport errors (DNS, TLS, connection reset, timeouts) are thrown as standard Java exceptions from HttpClient. Conversion may also return structured errors in the response body — when using an InBodyTarget, you can inspect errors on the InBodyConvertDocumentResponse even when content is present:

// InBodyConvertDocumentResponse
var result = (InBodyConvertDocumentResponse) api.convertSource(request);
if (result.getErrors() != null && !result.getErrors().isEmpty()) {
  result.getErrors().forEach(err ->
      System.err.println("Component=" + err.getComponentType()
          + ", Module=" + err.getModuleName()
          + ", Message=" + err.getErrorMessage()));
}

Version compatibility#

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

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

Here are the results:

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

Details#

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

Click to expand

###### Message

Click to collapse

Tag v1.34.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.33.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.32.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.31.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.30.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.29.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.28.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.27.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.26.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.25.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.24.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.23.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.22.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.22.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.21.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.20.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.19.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.18.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.17.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

Loading weights:   0%|          | 0/770 [00:00<?, ?it/s]
Loading weights:  66%|██████▋   | 512/770 [00:00<00:00, 5113.31it/s]
Loading weights: 100%|██████████| 770/770 [00:00<00:00, 5014.59it/s]
INFO:     172.17.0.1:39050 - "POST /v1/convert/source HTTP/1.1" 200 OK
[INFO] 2026-09-21 04:09:18,651 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:18,651 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/det/ch_PP-OCRv4_det_mobile.onnx
[INFO] 2026-09-21 04:09:18,795 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:18,795 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx
[INFO] 2026-09-21 04:09:18,894 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-09-21 04:09:18,895 [RapidOCR] main.py:57: Using /opt/app-root/src/.cache/docling/models/RapidOcr/onnx/PP-OCRv4/rec/ch_PP-OCRv4_rec_mobile.onnx

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

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

Click to expand

###### Message

Click to collapse

Tag v1.16.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.15.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.14.3 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.14.2 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.14.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.14.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.13.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.13.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.12.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.11.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.10.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.9.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.8.0 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.7.2 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

Click to expand

###### Message

Click to collapse

Tag v1.7.1 is ok

###### Docling server logs

click to expand

Starting production server 🚀

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

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

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

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:     172.17.0.1:48728 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:48736 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:48736 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

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Tag v1.6.0 is ok

###### Docling server logs

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Starting production server 🚀

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

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

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

Click to expand

###### Message

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Tag v1.5.1 is ok

###### Docling server logs

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Starting production server 🚀

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

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

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

Click to expand

###### Message

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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:     172.17.0.1:53790 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:53798 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:53798 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

Click to expand

###### Message

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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:     172.17.0.1:37198 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:37214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:37214 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:47082 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:47098 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:47098 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:46592 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:46596 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:46596 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:40868 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:40878 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:40878 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:45680 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:45684 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:45684 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:52438 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:52452 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:52452 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:49430 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:49444 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:49444 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:55078 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:55084 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:55084 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:57468 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:57470 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:57470 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK

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

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:     172.17.0.1:33420 - "GET /health HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "GET /health HTTP/1.1" 200 OK
WARNING:docling_core.types.doc.document:Parameter `strict_text` has been deprecated and will be ignored.
INFO:     172.17.0.1:33434 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "POST /v1/convert/source HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "GET /v1/clear/converters HTTP/1.1" 200 OK
INFO:     172.17.0.1:33434 - "GET /v1/clear/results?older_then=3600 HTTP/1.1" 200 OK