Indonesia Passport OCR with the StructOCR Node.js SDK

Why Indonesian Passport OCR is Difficult in Node.js

Building a reliable passport OCR pipeline from scratch is non-trivial for Indonesian documents. The Indonesian passport features a bilingual layout, combining Indonesian and English text on the same data page. A unique challenge lies in Indonesian naming conventions—many citizens have single names (no surname), which causes the MRZ to be filled with placeholder characters ('<<') in the surname field. Standard Node.js wrappers like Tesseract, combined with naïve RegEx patterns, frequently misinterpret this non-standard arrangement, leading to incorrect name splitting and field misalignment. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the Garuda Pancasila emblem that introduce optical noise. Developing custom JavaScript parsing logic for these edge cases 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 Southeast Asian identity documents and the unique naming structures found in Indonesian passports. 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, correctly handling single-name individuals. 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 Indonesian 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 Soekarno–Hatta International Airport (CGK) in Jakarta and I Gusti Ngurah Rai Airport (DPS) in Bali.
• Financial Compliance: Ensure strict compliance with the Indonesian Financial Services Authority (OJK) and PPATK Anti-Money Laundering (AML) regulations by automatically and accurately verifying identity documents.

Indonesia 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 scanIndonesiaPassport() {
  // Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
  const imagePath = './indonesia_passport_sample.jpg';

  try {
    console.log(`Processing Indonesia 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);
  }
}

scanIndonesiaPassport();

Sample JSON Output

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "IDN",
    "nationality": "IDN",
    "passport_number": "B1234567",
    "surname": "",
    "given_names": "SANTOSO",
    "sex": "M",
    "date_of_birth": "1994-08-17",
    "place_of_birth": "JAKARTA",
    "date_of_issue": "2023-05-10",
    "date_of_expiry": "2028-05-09",
    "issuing_authority": "DIREKTORAT JENDERAL IMIGRASI"
  }
}