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azure-ai-document-intelligence-ts

Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence).

Skill by MicrosoftOfficial

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About

Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.

Use cases: documents, backend, cloud, data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/azure-ai-document-intelligence-ts

What's inside

Skill name
azure-ai-document-intelligence-ts
Description
Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.
License
MIT
Metadata
author: Microsoft · package: @azure-rest/ai-document-intelligence · version: 1.0.0
Instructions
326 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Azure Document Intelligence REST SDK for TypeScript

Extract text, tables, and structured data from documents using prebuilt and custom models.

## Installation

```bash
npm install @azure-rest/ai-document-intelligence @azure/identity
```

## Environment Variables

```bash
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource>.cognitiveservices.azure.com
DOCUMENT_INTELLIGENCE_API_KEY=<api-key>
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
```

## Authentication

**Important**: This is a REST client. `DocumentIntelligence` is a **function**, not a class.

### DefaultAzureCredential

```typescript
import DocumentIntelligence from "@azure-rest/ai-document-intelligence";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();

const client = DocumentIntelligence(
  process.env.DOCUMENT_INTELLIGENCE_ENDPOINT!,
  credential
);
```

### API Key

```typescript
import DocumentIntelligence from "@azure-rest/ai-document-intelligence";

const client = DocumentIntelligence(
  process.env.DOCUMENT_INTELLIGENCE_ENDPOINT!,
  { key: process.env.DOCUMENT_INTELLIGENCE_API_KEY! }
);
```

## Analyze Document (URL)

```typescript
import DocumentIntelligence, {
  isUnexpected,
  getLongRunningPoller,
  AnalyzeOperationOutput
} from "@azure-rest/ai-document-intelligence";

const initialResponse = await client
  .path("/documentModels/{modelId}:analyze", "prebuilt-layout")
  .post({
    contentType: "application/json",
    body: {
      urlSource: "https://example.com/document.pdf"
    },
    queryParameters: { locale: "en-US" }
  });

if (isUnexpected(initialResponse)) {
  throw initialResponse.body.error;
}

const poller = getLongRunningPoller(client, initialResponse);
const result = (await poller.pollUntilDone()).body as AnalyzeOperationOutput;

console.log("Pages:", result.analyzeResult?.pages?.length);
console.log("Tables:", result.analyzeResult?.tables?.length);
```

## Analyze Document (Local File)

```typescript
import { readFile } from "node:fs/promises";

const fileBuffer = await readFile("./document.pdf");
const base64Source = fileBuffer.toString("base64");

const initialResponse = await client
  .path("/documentModels/{modelId}:analyze", "prebuilt-invoice")
  .post({
    contentType: "application/json",
    body: { base64Source }
  });

if (isUnexpected(initialResponse)) {
  throw initialResponse.body.error;
}

const poller = getLongRunningPoller(client, initialResponse);
const result = (await poller.pollUntilDone()).body as AnalyzeOperationOutput;
```

## Prebuilt Models

| 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 |

## Extract Invoice Fields

From microsoft/skills, MIT.

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Stars
3,145
Forks
354
Open issues
26
Contributors
32
Last commit (this folder)
Apr 22, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

azure-ai-document-intelligence-ts skill. Agent Mart. https://agentmart.dev/skills/microsoft-azure-ai-document-intelligence-ts (last updated 2026-10-24)