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

Why Kazakh Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial for Kazakh documents. The Kazakh passport features a bilingual layout that combines Kazakh (Cyrillic script) and English text on the same data page. The coexistence of Cyrillic and Latin characters frequently causes confusion in standard Node.js wrappers like Tesseract, leading to character substitution errors between visually similar letters (such as В/B, С/C, Н/H) and misaligned field extraction. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the national emblem that generate significant optical noise. Developing custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these script-mixing 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 Central Asian identity documents and the complexities of Cyrillic/Latin 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 Kazakh 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 Nursultan Nazarbayev International Airport (NQZ) and Almaty International Airport (ALA).
- Financial Compliance: Ensure strict compliance with the National Bank of Kazakhstan (NBK) 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
Kazakhstan 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 scanKazakhstanPassport() {
// Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
const imagePath = './kazakhstan_passport_sample.jpg';
try {
console.log(`Processing Kazakhstan 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);
}
}
scanKazakhstanPassport();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
- •Cyrillic-Latin Bilingual Support: Accurately parses names and descriptors across Kazakh (Cyrillic) and English scripts, resolving confusable characters like В/B or Н/H without character substitution 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": "KAZ",
"nationality": "KAZ",
"passport_number": "N1234567",
"surname": "AKHMETOV",
"given_names": "DANIYAR",
"sex": "M",
"date_of_birth": "1993-06-12",
"place_of_birth": "ALMATY",
"date_of_issue": "2023-07-15",
"date_of_expiry": "2028-07-14",
"issuing_authority": "MINISTRY OF INTERNAL AFFAIRS"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for Kazakh documents?
Generic OCR services often struggle with the Cyrillic/English bilingual layout and intricate security features of Kazakh passports, frequently misreading Kazakh names or dropping characters due to script confusion. Furthermore, you remain responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these Central 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.
You May Also Like
Related tutorials, platform guides, and comparisons
Bulgaria Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from Bulgaria passports.
Greece Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from Greece passports.
Norway Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from Norway passports.
Brazil Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from Brazil passports.
South Korea Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from South Korea passports.
Thailand Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from Thailand passports.
Irish Passport OCR with Node.js SDK
Use the StructOCR Node.js SDK and TypeScript + Express to extract visible identity, validity and MRZ fields from Irish passports.
Indonesia Passport OCR with Node.js SDK
Use the official StructOCR Node.js SDK with TypeScript and Express to extract structured MRZ and VIZ data from Indonesia passports.
Hungary Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Hungary passports with a server-side integration.
Indonesia Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Indonesia passports with a server-side integration.
Technical Comparisons & Integrations
Explore platform integrations and competitive analysis
Tesseract & PassportEye vs. StructOCR Passport API
A technical evaluation for developers deciding between open-source MRZ scanners and a dedicated cloud-based Passport OCR API.
Add Passport OCR to Your v0 App in 5 Minutes
Step-by-step guide to integrating the StructOCR Passport scanner API into a v0 by Vercel app through a secure Next.js server route.
AWS Textract vs. StructOCR API for Indian Passport Back Page Extraction
Why generic OCR fails at parsing the back page of Indian passports, and how a dedicated KYC API instantly extracts structured addresses, PIN codes, and family details.
AWS Textract & Google Vision vs. StructOCR Passport API
Why generic cloud OCR APIs fail at structured KYC automation, and why developers choose specialized Passport APIs instead.
Add Passport OCR to Your Bolt.new App in 5 Minutes
Step-by-step guide to integrating the StructOCR Passport scanner API into a Bolt.new app. Build travel, hospitality, and global KYC flows right in your browser.
Add Passport OCR using Cursor in 5 Minutes
Step-by-step guide to integrating the StructOCR Passport scanner API using the Cursor AI code editor. Build travel, hospitality, and global KYC flows rapidly.
From tutorial to production in 5 minutes.
You've seen the code. Now get your API key, grab your 200 free credits, and see it work with your own images. No credit card required.