azure-ai-formrecognizer

import os from azure.ai.formrecognizer import DocumentAnalysisClient from azure.core.credentials import AzureKeyCredential # Set these environment variables for authentication endpoint = os.environ.get('AZURE_FORM_RECOGNIZER_ENDPOINT', 'YOUR_FORM_RECOGNIZER_ENDPOINT') key = os.environ.get('AZURE_FORM_RECOGNIZER_KEY', 'YOUR_FORM_RECOGNIZER_KEY') if endpoint == 'YOUR_FORM_RECOGNIZER_ENDPOINT' or key == 'YOUR_FORM_RECOGNIZER_KEY': print("Please set the AZURE_FORM_RECOGNIZER_ENDPOINT and AZURE_FORM_RECOGNIZER_KEY environment variables.") exit() # Example document URL (replace with your own) document_url = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-quickstart-code/master/python/FormRecognizer/rest/sample_data/Form_1.jpg" def analyze_general_document(): document_analysis_client = DocumentAnalysisClient( endpoint=endpoint, credential=AzureKeyCredential(key) ) print(f"Analyzing document from: {document_url}") # Use the prebuilt-document model for general document analysis poller = document_analysis_client.begin_analyze_document_from_url( "prebuilt-document", document_url ) result = poller.result() if result.documents: for idx, doc in enumerate(result.documents): print(f"----Detected Document #{idx+1}-----") print(f"Document type: {doc.doc_type}") if doc.fields: print("Fields:") for name, field in doc.fields.items(): field_value = field.value if field.value else field.content print(f" {name}: {field_value} (Confidence: {field.confidence:.2f})") else: print("No documents detected.") print("---Analysis complete.---") if __name__ == "__main__": analyze_general_document()