Uzbekistan Passport OCR with the StructOCR Node.js SDK

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

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

Why Uzbekistan Passport OCR is Difficult in Node.js

Building a reliable passport OCR pipeline from scratch is non-trivial, especially for Central Asian documents like those from Uzbekistan. Open-source Node.js wrappers for tools like Tesseract frequently fail when forced to dynamically switch between Latin (Uzbek/English) and Cyrillic (Russian) scripts on the same data page. Furthermore, modern Uzbekistan biometric travel passports feature intricate background artwork showcasing national monuments and complex geometric patterns, which confuse standard text recognition algorithms. Maintaining custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these multi-script optical errors is brittle, leading to high failure rates and manual review queues.

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 their unique multi-script 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 Uzbekistan Passports into your web or mobile apps in under 2 seconds.
  • Travel & Aviation Apps: Seamlessly integrate with Node.js backends for e-Visa processing or automated check-in systems at major hubs like Tashkent International Airport (TAS) and Samarkand (SKD).
  • Financial Compliance: Ensure strict compliance with the Central Bank of Uzbekistan (CBU) and AML regulations by automatically verifying identity documents.

Live Demo: Passport scanner

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Uzbekistan 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 scanUzbekistanPassport() {
  // Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
  const imagePath = './uzbekistan_passport_sample.jpg';

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

scanUzbekistanPassport();

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

  • Multi-Script Support: Accurately parses names and places across Latin and Cyrillic scripts without throwing encoding errors in your Node environment.
  • Visual Extraction (VIZ): Reliably extracts data directly from the visual inspection zone, bypassing intricate national monument backgrounds and holographic overlays.
  • 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": "UZB",
    "nationality": "UZB",
    "passport_number": "FA1234567",
    "surname": "KARIMOV",
    "given_names": "RUSTAM",
    "sex": "M",
    "date_of_birth": "1988-03-12",
    "place_of_birth": "TASHKENT",
    "date_of_issue": "2022-05-10",
    "date_of_expiry": "2032-05-09",
    "issuing_authority": "STATE PERSONALIZATION CENTRE"
  }
}

Frequently Asked Questions

How does StructOCR compare to AWS Textract or Google Vision for Uzbekistan documents?

Generic OCR services like AWS Textract and Google Vision extract raw lines of text but often struggle to differentiate complex mixed scripts (Latin/Cyrillic) from background noise. Furthermore, you are still responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these documents, returning validated, labeled fields like `surname` and `date_of_birth` 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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