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

Why French Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial for French documents. The French passport features a bilingual layout, combining French and English text on the same data page. French is rich in diacritical marks and special characters such as é, è, ê, ë, à, â, ç, ô, ù, and œ, which frequently cause misinterpretation in standard Node.js wrappers like Tesseract, leading to character corruption and field misalignment. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the French Republic emblem that introduce optical noise. Developing custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these bilingual and accented-character alignment issues is highly brittle, often resulting in high manual review rates.
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 European identity documents and the complexities of French/English bilingual typography. 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 French Passports into your fintech or digital services apps in under 2 seconds.
- Travel & Aviation Apps: Seamlessly integrate with Node.js backends for automated check-in systems and border management at hubs like Charles de Gaulle Airport (CDG) and Orly Airport (ORY) in Paris.
- Financial Compliance: Ensure strict compliance with the Autorité des Marchés Financiers (AMF) and European Anti-Money Laundering (AML) regulations by automatically and accurately verifying identity documents.
Live Demo: Passport scanner
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JPG · PNG · WebP · up to 500 files · max 4.5 MB each
France 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 scanFrancePassport() {
// Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
const imagePath = './france_passport_sample.jpg';
try {
console.log(`Processing France 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);
}
}
scanFrancePassport();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
- •French Character Support: Accurately parses names and places containing special characters such as é, è, ê, ë, à, â, ç, ô, ù, œ, without character corruption or alignment errors in your Node environment.
- •Visual Extraction (VIZ): Reliably extracts data directly from the visual inspection zone, bypassing intricate national security backgrounds and watermarks.
- •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": "FRA",
"nationality": "FRA",
"passport_number": "12AB34567",
"surname": "DUBOIS",
"given_names": "MARIE",
"sex": "F",
"date_of_birth": "1993-05-14",
"place_of_birth": "PARIS",
"date_of_issue": "2023-01-10",
"date_of_expiry": "2028-01-09",
"issuing_authority": "PRÉFECTURE DE POLICE"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for French documents?
Generic OCR services often struggle with the French/English bilingual layout and special accented characters (é, è, ê, ç, à, etc.) prevalent in French passports, frequently misreading or omitting them. Furthermore, you remain responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these European documents, returning validated, labeled fields 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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