Bangladesh Passport OCR with the StructOCR Node.js SDK

Install the official Node.js SDK, extract validated Bangladesh passport fields, and add the same workflow to a TypeScript Express service.

A diagram showing a Bangladeshi passport image processed by the StructOCR Node.js API, returning structured JSON.
Figure 1: StructOCR converts raw Bangladesh Passport images into validated JSON data natively in your Node.js backend.

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. 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 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

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Bangladesh 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 scanBangladeshPassport() {
  // Note: Supports JPG, PNG, WebP, PDF (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: < 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

  • 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

The Node.js SDK returns an object matching this normalized JSON structure.

{
  "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. 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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