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

Why Singapore Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial for Singapore documents. The Singapore passport features a multilingual layout, displaying personal data in English alongside Chinese characters (and sometimes Malay or Tamil transliterations). The coexistence of Latin script with complex Hanzi characters and other abugidas frequently confuses standard Node.js wrappers like Tesseract, causing character misrecognition, segmentation errors, and misaligned field extraction. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the national coat of arms that introduce optical noise. Developing custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these multilingual 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 Southeast Asian identity documents and the complexities of multilingual typography involving English, Chinese, Malay, and Tamil scripts. 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 Singapore 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 Singapore Changi Airport (SIN).
- Financial Compliance: Ensure strict compliance with the Monetary Authority of Singapore (MAS) and regional Anti-Money Laundering (AML) regulations by automatically and accurately verifying identity documents.
Live Demo: Passport scanner
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Singapore 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 scanSingaporePassport() {
// Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
const imagePath = './singapore_passport_sample.jpg';
try {
console.log(`Processing Singapore 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);
}
}
scanSingaporePassport();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
- •Full Multilingual Support: Accurately parses names in English and Chinese (Simplified Hanzi), and preserves Malay/Tamil transliterations without script mixing 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": "SGP",
"nationality": "SGP",
"passport_number": "T1234567A",
"surname": "TAN",
"given_names": "WEI MING",
"sex": "M",
"date_of_birth": "1993-10-08",
"place_of_birth": "SINGAPORE",
"date_of_issue": "2023-06-15",
"date_of_expiry": "2028-06-14",
"issuing_authority": "IMMIGRATION & CHECKPOINTS AUTHORITY"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for Singapore documents?
Generic OCR services often struggle with the multilingual layout of Singapore passports, particularly the accurate extraction of Chinese characters alongside English fields. Furthermore, you remain responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these multilingual 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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