azure-ai-document-intelligence-ts

原文涵盖的主题

• Azure Document Intelligence REST SDK for TypeScript
• Installation
• Environment Variables
• Authentication
• DefaultAzureCredential
• API Key
• Analyze Document (URL)
• Analyze Document (Local File)

Extract text, tables, and structured data from documents using prebuilt and custom models. Important: This is a REST client. DocumentIntelligence is a function, not a class. | Model ID | Description | |----------|-------------| | prebuilt-read | OCR - text and language extraction | | prebuilt-layout | Text, tables, selection marks, structure | | prebuilt-invoice | Invoice fields | | prebuilt-receipt | Receipt fields | | prebuilt-idDocument | ID document fields | | prebuilt-tax.us.w2 | W-2 tax form fields | | prebuilt-healthInsuranceCard.us | Health insurance card fields | | prebuilt-contract | Contract fields | | prebuilt-bankStatement.us | Bank statement fields | 1. Use getLongRunningPoller() - Document analysis is async, always poll for results 2. Check isUnexpected() - Type guard for proper error handling 3. Choose the right model - Use prebuilt models when possible, custom for specialized docs 4. Handle confidence scores - Fields have confidence values, set thresholds for your use case 5. Use pagination - Use paginate() helper for listing models 6. Prefer neural mode - For custom models, neural handles more variation than template