azure-ai-document-intelligence-dotnet

Extract structured text and fields from scanned documents and PDFs using Azure AI Document Intelligence.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/davidrrowley/CortexYouV3 --skill azure-ai-document-intelligence-dotnet-davidrrowley
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: azure-ai-document-intelligence-dotnet
Source: https://github.com/davidrrowley/CortexYouV3/tree/main/.agents/skills/azure-ai-document-intelligence-dotnet
Command: npx skills add https://github.com/davidrrowley/CortexYouV3 --skill azure-ai-document-intelligence-dotnet-davidrrowley

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps .NET developers remove manual data entry and unreliable parsing by extracting text, tables, typed fields, and structured data from scanned documents and PDFs using Azure AI Document Intelligence.

Core Features & Use Cases

  • Prebuilt model analysis: extract invoices, receipts, ID documents, business cards, and layout information with model-specific fields.
  • Custom model and classifier management: build, list, and delete custom document models and classifiers using blob container SAS training sources.
  • Programmatic workflows: analyze documents from URIs or binary data, extract pages, lines, words, tables, selection marks, and typed fields with confidence checks and long-running operation support.
  • Use Case: automate invoice and receipt processing to populate accounting systems, audit document data, or create searchable archives.

Quick Start

Use the Azure Document Intelligence .NET SDK to analyze an invoice URL and extract vendor name, line items, and total into a structured object.

Frequently Asked Questions about azure-ai-document-intelligence-dotnet

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured text and table data from scanned PDFs in a .NET application?

You can extract structured text and tables from scanned PDFs in .NET using Azure AI Document Intelligence, which processes documents from URIs or binary uploads to return pages, lines, words, and tables with confidence scores.

Can I automate invoice processing and line item extraction using Azure Document Intelligence and .NET?

Yes, you can automate invoice processing in .NET using Azure AI Document Intelligence prebuilt models to extract vendor names, line items, and totals into structured objects for accounting systems.

Does Azure AI Document Intelligence support analyzing documents from binary uploads or only URIs?

Azure AI Document Intelligence supports both binary uploads and URIs for document analysis, enabling workflows that extract typed fields, selection marks, and tables with long-running operation support.

How do I build and train custom document classification models using a blob container SAS URL?

Build and train custom document classifiers by providing a blob container SAS URL as the training source to Azure AI Document Intelligence, which manages creating, listing, and deleting custom models and classifiers.

What authentication methods are supported for Azure AI Document Intelligence in .NET?

Azure AI Document Intelligence in .NET supports both Entra ID and API key authentication for securely accessing prebuilt and custom model analysis workflows.

What prebuilt models are available for extracting data from ID documents, receipts, and business cards?

Azure AI Document Intelligence provides prebuilt models for ID documents, receipts, and business cards that extract model-specific typed fields directly from scanned documents, eliminating manual data entry.