India Aadhaar OCR with Node.js SDK
Add Aadhaar card data extraction to a Node.js backend using the official SDK and an Express route.

Working with the Aadhaar card
The Aadhaar card places the holder's identity number and biographical details in a country-specific layout. Re-keying those values is slow, while generic OCR still leaves a backend team to identify each text fragment and map it to a database field.
Structured Extraction for Node.js Backends
StructOCR accepts a Base64-encoded image or PDF and returns normalized national ID fields. For a readable Aadhaar card, the response can include the Aadhaar number, name, dates, issuing information and address when those values appear on the submitted document.
Common Integration Scenarios
- Customer onboarding: Pre-fill visible identity fields from a Aadhaar card before user confirmation.
- Account operations: Reduce manual transcription when staff enter identity data into an internal workflow.
- Document review: Store normalized API output alongside the original review decision in your own system.
Live Demo: ID card scanner
No registration required. Upload a file to test the extraction.
Drop files here or click to browse
JPG · PNG · WebP · up to 500 files · max 4.5 MB each
India National ID OCR with Node.js
The official Node.js SDK reads a supported local file and calls /v1/national-id. Open the TypeScript + Express tab for a server route using the same SDK method.
Prerequisite: `npm install structocr`; set the server-side `STRUCTOCR_API_KEY` environment variable.
Prefer another stack? Open the Python SDK + FastAPI integration.
const StructOCR = require("structocr");
const client = new StructOCR(process.env.STRUCTOCR_API_KEY);
async function main() {
const result = await client.scanNationalId("id-card.jpg");
if (result.success) {
const data = result.data;
console.log(data.document_number);
console.log(data.given_names, data.surname);
} else {
console.error(result.error);
}
}
main().catch(console.error);Technical Specs
- •Endpoint: POST /v1/national-id
- •Input: Base64-encoded JPG, PNG, WebP, or PDF in JSON (Max 4.5MB)
- •Authentication: Server-side x-api-key header handled by the SDK
- •Cost: 2 credits per scan
- •Output: Structured JSON
Key Features
- •Local terminology: Handles the Aadhaar card as a national identity document.
- •Identifier output: Returns the Aadhaar number in supported identifier fields when visible.
- •Normalized names and dates: Maps readable identity data to consistent JSON keys.
- •Server integration: Keeps the API key inside the Node.js backend.
JSON Response Example
This example shows the normalized response shape for a readable Aadhaar card; unavailable fields can be null.
{
"success": true,
"data": {
"type": "national_id",
"country_code": "IND",
"document_number": "1234 5678 9012",
"personal_number": "1234 5678 9012",
"card_series": null,
"surname": "DOE",
"given_names": "ALEX",
"sex": null,
"date_of_birth": "1990-01-01",
"place_of_birth": null,
"date_of_issue": null,
"date_of_expiry": null,
"issuing_authority": null,
"address": "NEW DELHI",
"additional_fields": {}
}
}Frequently Asked Questions
Does the API validate a Aadhaar number?
The OCR endpoint extracts visible document data. Treat the result as extracted data for your own review and validation workflow; this page does not claim government-database or authenticity verification.
Which input types are supported?
The REST endpoint accepts JSON containing a Base64-encoded JPG, PNG, WebP or PDF up to 4.5MB. The SDK handles local file encoding before it sends the request.
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