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Azure Document Intelligence (OCR) - SAS Custom Step

| YouTube

This video demonstrates how to utilize Azure Document Intelligence services within SAS Studio without the need for coding. It covers various examples of text, forms, queries, and tables, showcasing the ease of performing OCR tasks on SAS Viya.

  • No coding required for OCR in SAS Studio
  • Demonstrates text, form, query, and table examples
  • Easily integrates Azure AI Document Intelligence
  • Prerequisites for setup are discussed
  • Links to additional resources provided

Transparency Note: This summary was generated by an AI.

Example: Azure Document Intelligence

python
from azure.ai.formrecognizer import DocumentAnalysisClient
from azure.core.credentials import AzureKeyCredential


# Replace with your Azure endpoint and API key
endpoint = "https://<your-resource-name>.cognitiveservices.azure.com/"
api_key = "<your-api-key>"


# Initialize the client
client = DocumentAnalysisClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))


# Path to your PDF file
file_path = "path/to/sample.pdf"


# Analyze the document
with open(file_path, "rb") as pdf_file:
    poller = client.begin_analyze_document("prebuilt-document", pdf_file)
    result = poller.result()


# Print the results
for page in result.pages:
    print(f"Page number: {page.page_number}")
    for line in page.lines:
        print(f"  Line: {line.content}")


    for table in page.tables:
        print(f"  Table with {len(table.cells)} cells:")
        for cell in table.cells:
            print(f"    Cell text: {cell.content}")


print("Document analysis complete.")
Azure Cloud Custom Step Document Intelligence OCR SAS Tutorial