How to batch create a searchable pdf using azure document intelligence python API

Question

Hi All,

I have stored some PDFs in Azure Blob storage and I am trying to batch OCR these documents while also creating a searchable PDF. Unfortunately at the moment I'm getting a file with the following extension "filename.pdf.ocr.json" which wont open even If I rename it to the correct file extension. I assume I'm using the wrong python setup for the function "document_intelligence_client.begin_analyze_batch_documents()", the variable I have set for this are below:

Any suggestions on how to batch create a searchable pdf using azure document intelligence python API would be greatly appreciated

    poller = document_intelligence_client.begin_analyze_batch_documents(
        model_id="prebuilt-read",
        body=request,
        output=["pdf"],
    )

Answer 1

Hello Andrew Richardson (W),

Thanks for troubleshooting on this and i understand your frustration on this.

Based on the Azure SDK documentation for Document Intelligence, the AnalyzeBatchDocumentsRequest class does not support the output_content_format parameter. This is confirmed by the following details:

1. The begin_analyze_batch_documents method in the DocumentIntelligenceClient class accepts an AnalyzeBatchDocumentsRequest object, but the output_content_format parameter is not listed as a valid argument.
2. The output_content_format parameter is supported in the begin_analyze_document method, which suggests that you should use this method instead for specifying the output format.

Here is an example of how to use the begin_analyze_document method with the output_content_format parameter:

from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.core.credentials import AzureKeyCredential


# Define the request
request = {
    "result_container_url": result_container_sas_url,
    "azure_blob_source": {
        "container_url": batch_training_data_container_sas_url
    }
}

# Make the request
poller = client.begin_analyze_document(
    model_id="<your-model-id>",
    analyze_request=request,
    output_content_format="pdf"  
)

# Get the result
result = poller.result()

# Save the result as a PDF
with open("output.pdf", "wb") as f:
    f.write(result)

For more detailed information, you can refer to the official Microsoft documentation on the DocumentIntelligenceClient class and its methods.

I hope this helps! Let me know if you have any other questions.

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Thanks