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

Why Ugandan Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial, particularly for documents from the East African Community (EAC). The modern Ugandan biometric e-passport features tri-lingual field descriptors (English, Swahili, and French), which can easily confuse open-source Node.js wrappers like Tesseract. Additionally, the polycarbonate data pages incorporate intricate background artwork, including the national Coat of Arms, crested crane watermarks, and complex UV fluorescent patterns. These security features often cause severe optical noise and glare, making custom RegEx parsing for the Machine Readable Zone (MRZ) highly brittle and leading to 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 African identity documents and the EAC e-passport format. 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 Ugandan Passports into your fintech, telecom, or mobile money apps in under 2 seconds.
- Travel & Border Control: Seamlessly integrate with Node.js backends for automated check-in systems and border management at hubs like Entebbe International Airport (EBB).
- Financial Compliance: Ensure strict compliance with Bank of Uganda regulations and regional Anti-Money Laundering (AML) directives by automatically verifying identity documents.
Live Demo: Passport scanner
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JPG · PNG · WebP · up to 500 files · max 4.5 MB each
Uganda 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 scanUgandaPassport() {
// Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
const imagePath = './uganda_passport_sample.jpg';
try {
console.log(`Processing Uganda 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);
}
}
scanUgandaPassport();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
- •EAC Format Ready: Accurately parses data from the East African Community biometric passport layout, overcoming complex background watermarks and emblems.
- •Tri-Lingual Processing: Seamlessly maps English, Swahili, and French field descriptors to structured JSON keys without breaking parsing logic.
- •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": "UGA",
"nationality": "UGA",
"passport_number": "B1234567",
"surname": "MUKASA",
"given_names": "JOHN",
"sex": "M",
"date_of_birth": "1988-11-20",
"place_of_birth": "KAMPALA",
"date_of_issue": "2022-04-10",
"date_of_expiry": "2032-04-09",
"issuing_authority": "DCIC"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for Ugandan documents?
Generic OCR services extract raw lines of text but often struggle to differentiate valid data from the complex background noise of EAC passports, nor do they understand tri-lingual descriptors. 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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