The Node.js SDK for Bangladesh Passport OCR
Achieve 99.8%+ accuracy and sub-second latency for parsing bilingual (Bangla/English) Bangladeshi passports and ICAO 9303 compliant MRZ data.

Why Bangladeshi Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial for Bangladeshi documents. The Bangladeshi passport features a bilingual layout, combining Bangla (Bengali script) and English text on the same data page. Bangla script features complex conjunct characters, vowel diacritics (matras), and descender-rich letterforms that frequently cause segmentation errors in standard Node.js wrappers like Tesseract. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the national emblem that introduce optical noise. Developing custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these script-specific challenges 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 South Asian identity documents and the complexities of Bangla/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.
Production Use Cases
- Digital Onboarding (e-KYC): Reduce drop-off rates by pre-filling user data from Bangladeshi 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 Hazrat Shahjalal International Airport (DAC) in Dhaka.
- Financial Compliance: Ensure strict compliance with Bangladesh Bank and regional Anti-Money Laundering (AML) regulations by automatically and accurately verifying identity documents.
Live Demo: Passport 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
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Get 20 Free API Calls →Implementation: Node.js SDK
The official Node.js SDK simplifies Bangladeshi passport extraction. It handles the file buffer and parses both MRZ and visual fields containing bilingual Bangla and English text.
Prerequisite: npm install structocr
const StructOCR = require('structocr');
// 💰 Save 30%+ vs competitors. Get 20 free credits instantly:
// 👉 https://structocr.com/register
// Initialize the client with your API key
const client = new StructOCR('YOUR_API_KEY_HERE');
async function scanBangladeshPassport() {
// Note: Supports JPG, PNG, WebP (Max 4.5MB)
const imagePath = './bangladesh_passport_sample.jpg';
try {
console.log(`Processing Bangladesh 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);
}
}
scanBangladeshPassport();Technical Specs
- •Latency: < 5s (Average)
- •Uptime: 98.5% SLA
- •Security: AES-256 Encryption & SOC2 Compliant
- •Input: JPG, PNG, WebP (File Path or Buffer)
- •Max File Size: 4.5MB
- •Output: JSON (Structured Data)
Key Features
- •Bangla Script Support: Accurately parses names and descriptors across complex Bangla script, handling conjuncts, matras, and descenders 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
StructOCR returns a normalized JSON object, automatically managing character encodings and structuring the data extracted from the Bangladeshi passport.
{
"success": true,
"data": {
"type": "passport",
"country_code": "BGD",
"nationality": "BGD",
"passport_number": "AB1234567",
"surname": "HASAN",
"given_names": "MOHAMMAD ALI",
"sex": "M",
"date_of_birth": "1995-01-15",
"place_of_birth": "DHAKA",
"date_of_issue": "2023-08-10",
"date_of_expiry": "2028-08-09",
"issuing_authority": "DEPARTMENT OF IMMIGRATION & PASSPORTS"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for Bangladeshi documents?
Generic OCR services often struggle with the complex Bangla script, including conjunct characters and diacritics, frequently misinterpreting letters or omitting matras. Furthermore, you remain responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these South Asian 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, our Node.js SDK fully supports passing image Buffers directly, which is ideal for serverless environments like AWS Lambda or Cloudflare Workers where you might not want to write files to disk.
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