
Azure AI Document Intelligence Ts
Low Riskby @sickn33Verified Source
About
Extract text, tables, and structured data from documents using prebuilt and custom models.
name: azure-ai-document-intelligence-ts description: "Extract text, tables, and structured data from documents using prebuilt and custom models." risk: unknown source: community date_added: "2026-02-27"
Azure Document Intelligence REST SDK for TypeScript
Extract text, tables, and structured data from documents using prebuilt and custom models.
Installation
npm install @azure-rest/ai-document-intelligence @azure/identity
Environment Variables
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource>.cognitiveservices.azure.com
DOCUMENT_INTELLIGENCE_API_KEY=<api-key>
Authentication
Important: This is a REST client. DocumentIntelligence is a function, not a class.
DefaultAzureCredential
import DocumentIntelligence from "@azure-rest/ai-document-intelligence";
import { DefaultAzureCredential } from "@azure/identity";
const client = DocumentIntelligence(
process.env.DOCUMENT_INTELLIGENCE_ENDPOINT!,
new DefaultAzureCredential()
);
API Key
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)
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)
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
const initialResponse = await client
.path("/documentModels/{modelId}:analyze", "prebuilt-invoice")
.post({
contentType: "application/json",
body: { urlSource: invoiceUrl }
});
if (isUnexpected(initialResponse)) {
throw initialResponse.body.error;
}
const poller = getLongRunningPoller(client, initialResponse);
const result = (await poller.pollUntilDone()).body as AnalyzeOperationOutput;
const invoice = result.analyzeResult?.documents?.[0];
if (invoice) {
console.log("Vendor:", invoice.fields?.VendorName?.content);
console.log("Total:", invoice.fields?.InvoiceTotal?.content);
console.log("Due Date:", invoice.fields?.DueDate?.content);
}
Extract Receipt Fields
const initialResponse = await client
.path("/documentModels/{modelId}:analyze", "prebuilt-receipt")
.post({
contentType: "application/json",
body: { urlSource: receiptUrl }
});
const poller = getLongRunningPoller(client, initialResponse);
const result = (await poller.pollUntilDone()).body as AnalyzeOperationOutput;
const receipt = result.analyzeResult?.documents?.[0];
if (receipt) {
console.log("Merchant:", receipt.fields?.MerchantName?.content);
console.log("Total:", receipt.fields?.Total?.content);
for (const item of receipt.fields?.Items?.values || []) {
console.log("Item:", item.properties?.Description?.content);
console.log("Price:", item.properties?.TotalPrice?.content);
}
}
List Document Models
import DocumentIntelligence, { isUnexpected, paginate } from "@azure-rest/ai-document-intelligence";
const response = await client.path("/documentModels").get();
if (isUnexpected(response)) {
throw response.body.error;
}
for await (const model of paginate(client,
