US Passport OCR with the StructOCR Node.js SDK
Install the official Node.js SDK, extract validated US passport fields, and add the same workflow to a TypeScript Express service.

Why US Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial, especially for United States documents. The rollout of the Next Generation Passport (NGP) introduced rigid polycarbonate data pages with complex laser engraving and intricate patriotic background artwork. These security features often cause severe glare and reflections under standard smartphone camera lighting, confusing open-source Node.js wrappers like Tesseract. Maintaining custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these optical artifacts is brittle, leading to high failure rates and manual review queues.
Enterprise-Grade Extraction with the StructOCR SDK
StructOCR simplifies document processing in your JavaScript ecosystem by replacing complex pipelines with a single async API call. Our service leverages pre-trained Deep Learning models optimized specifically for US identity documents, including both legacy e-passports and the latest NGP formats. Our passport mrz ocr api automatically handles perspective correction, denoising, and glare removal. Instead of returning raw, unstructured text strings, the StructOCR Node.js SDK provides standardized JSON output with validated fields. This capability is crucial for applications managing international borders, as it eliminates the need for manual parsing, delivering production-ready data directly to your Express, NestJS, or Next.js applications. For the fastest Node.js integration, install the official StructOCR SDK and see the Node.js SDK documentation.
Production Use Cases
- Digital Onboarding (e-KYC): Reduce drop-off rates by pre-filling user data from US Passports into your web or mobile apps in under 2 seconds.
- Travel & Aviation Apps: Seamlessly integrate with Node.js backends for TSA PreCheck validation, CBP reporting, or automated check-in systems at major US hubs.
- Financial Compliance: Ensure strict compliance with the Patriot Act and FinCEN AML regulations by automatically and accurately verifying identity documents.
Live Demo: Passport scanner
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Drop files here or click to browse
JPG · PNG · WebP · up to 500 files · max 4.5 MB each
US Passport OCR with the Node.js SDK
The official Node.js SDK handles file buffers, API communication, and structured passport results. Use the SDK directly or open the TypeScript + Express tab for a server endpoint. Keep your API key in STRUCTOCR_API_KEY.
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');
// Initialize the client with your API key
const apiKey = process.env.STRUCTOCR_API_KEY;
if (!apiKey) throw new Error('STRUCTOCR_API_KEY is not configured');
const client = new StructOCR(apiKey);
async function scanUSPassport() {
// Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
const imagePath = './us_passport_sample.jpg';
try {
console.log(`Processing US passport: ${imagePath}...`);
// The SDK handles file reading and the API call seamlessly
const result = await client.scanPassport(imagePath);
if (result.success && result.data) {
const data = result.data;
console.log('✅ Extraction Successful!');
// Basic Identity (MRZ + VIZ)
console.log(`Passport #: ${data.passport_number}`);
console.log(`Name: ${data.surname} ${data.given_names}`);
console.log(`Nation: ${data.nationality} (${data.country_code})`);
// Visual Zone Specifics
console.log(`Birth Place:${data.place_of_birth}`);
console.log(`Authority: ${data.issuing_authority}`);
// Dates
console.log(`DOB: ${data.date_of_birth} (${data.sex})`);
console.log(`Expiry: ${data.date_of_expiry}`);
} else {
console.error('❌ Extraction Failed:', result.error || 'Unknown Error');
}
} catch (error) {
console.error('An unexpected error occurred:', error.message);
}
}
scanUSPassport();Technical Specs
- •Latency: < 4s (Average)
- •Uptime: 99.9% SLA
- •Security: AES-256 Encryption & SOC2 Compliant
- •Input: JPG, PNG, WebP, PDF (file path, Buffer, or Uint8Array; SDK converts to Base64 JSON)
- •Max File Size: 4.5MB
- •Output: JSON (Structured Data)
Key Features
- •Next Generation Passport (NGP) Ready: Accurately parses data from the latest US polycarbonate pages without being hindered by patriotic background art.
- •Visual Extraction (VIZ): Reliably extracts data directly from the visual inspection zone, including the specific Issuing Authority format.
- •Date Normalization: Returns all dates (Birth, Issue, Expiry) in a standardized YYYY-MM-DD format, ready for JavaScript `Date` objects.
Sample JSON Output
The Node.js SDK returns an object matching this normalized JSON structure.
{
"success": true,
"data": {
"type": "passport",
"country_code": "USA",
"nationality": "USA",
"passport_number": "123456789",
"surname": "DOE",
"given_names": "JOHN ROBERT",
"sex": "M",
"date_of_birth": "1985-05-15",
"place_of_birth": "NEW YORK, U.S.A.",
"date_of_issue": "2021-06-10",
"date_of_expiry": "2031-06-09",
"issuing_authority": "UNITED STATES DEPARTMENT OF STATE"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for US documents?
Generic OCR services extract raw lines of text but often struggle to differentiate valid data from the complex background noise of US passports. Furthermore, you are still responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these documents, returning validated, labeled fields like `surname` and `date_of_birth` directly.
Do you store the uploaded images?
We do not store customer images. All data is processed in-memory (RAM) and is purged immediately after the API request is completed. We are a SOC2 compliant provider.
Can I pass a buffer instead of a file path in Node.js?
Yes. On Node.js server runtimes, the SDK accepts Buffer or Uint8Array, validates the decoded JPG, PNG, WebP, or PDF, and converts it to Base64 JSON before calling the REST API.
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