azure-ai-documentintelligence

import os from azure.ai.documentintelligence import DocumentIntelligenceClient from azure.core.credentials import AzureKeyCredential # Set your Document Intelligence endpoint and key as environment variables # e.g., AZURE_DOCUMENT_INTELLIGENCE_ENDPOINT and AZURE_DOCUMENT_INTELLIGENCE_KEY endpoint = os.environ.get("AZURE_DOCUMENT_INTELLIGENCE_ENDPOINT", "<your-endpoint>") key = os.environ.get("AZURE_DOCUMENT_INTELLIGENCE_KEY", "<your-key>") if endpoint == "<your-endpoint>" or key == "<your-key>": print("Please set the AZURE_DOCUMENT_INTELLIGENCE_ENDPOINT and AZURE_DOCUMENT_INTELLIGENCE_KEY environment variables.") print("You can find these in your Azure portal under your Document Intelligence resource's 'Keys and Endpoint' section.") else: document_url = "https://raw.githubusercontent.com/Azure/azure-sdk-for-python/main/sdk/documentintelligence/azure-ai-documentintelligence/samples/sample_forms/forms/Invoice_1.pdf" document_intelligence_client = DocumentIntelligenceClient( endpoint=endpoint, credential=AzureKeyCredential(key) ) print(f"Analyzing document from URL: {document_url}") # Use 'prebuilt-invoice' for invoices, 'prebuilt-receipt' for receipts, etc. # Or use your custom model_id for custom models poller = document_intelligence_client.begin_analyze_document_from_url( "prebuilt-invoice", document_url ) result = poller.result() if result.documents: for idx, document in enumerate(result.documents): print(f"\n--- Document {idx + 1} Analysis ---") if document.doc_type: print(f" Document type: {document.doc_type}") if document.fields: print(" Extracted Fields:") for name, field in document.fields.items(): if field.content: print(f" {name}: {field.content} (Confidence: {field.confidence:.2f})") else: print("No documents found in the analysis result.")