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

Why Ethiopian Passport OCR is Difficult in Node.js
Building a reliable passport OCR pipeline from scratch is non-trivial for Ethiopian documents. The Ethiopian passport features a bilingual layout, utilizing both the indigenous Ge'ez script (Fidel) for Amharic—which is written Left-to-Right but has a unique syllabic structure—and English text. The complex, ornamental letterforms with inherent vowel markings frequently cause errors in standard Node.js wrappers like Tesseract, leading to character substitution and severe segmentation errors. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the national emblem that introduce 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 East African identity documents and the complexities of Ge'ez/English 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 Ethiopian 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 Bole International Airport (ADD) in Addis Ababa.
- Financial Compliance: Ensure strict compliance with the National Bank of Ethiopia (NBE) 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
Ethiopia 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 scanEthiopiaPassport() {
// Note: Supports JPG, PNG, WebP, PDF (Max 4.5MB)
const imagePath = './ethiopia_passport_sample.jpg';
try {
console.log(`Processing Ethiopia 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);
}
}
scanEthiopiaPassport();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
- •Ge'ez Script Support: Accurately parses names and descriptors across the unique Ge'ez (Fidel) syllabary and English scripts without character corruption 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": "ETH",
"nationality": "ETH",
"passport_number": "EP1234567",
"surname": "TADESSE",
"given_names": "ABEBE",
"sex": "M",
"date_of_birth": "1994-05-10",
"place_of_birth": "ADDIS ABABA",
"date_of_issue": "2023-03-12",
"date_of_expiry": "2028-03-11",
"issuing_authority": "IMMIGRATION AND CITIZENSHIP SERVICE"
}
}Frequently Asked Questions
How does StructOCR compare to AWS Textract or Google Vision for Ethiopian documents?
Generic OCR services often struggle with the Ge'ez script's syllabic structure and the bilingual Amharic/English layout of Ethiopian passports, frequently misinterpreting letterforms or mixing up fields. Furthermore, you remain responsible for writing JavaScript parsing logic and validating MRZ checksums. StructOCR is a specialized API trained specifically on these East African 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
Malaysia 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 Malaysia passports.
Chile 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 Chile passports.
Senegal 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 Senegal 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.
Japan 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 Japan passports.
Spain 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 Spain passports.
Poland 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 Poland passports.
Philippines 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 Philippines passports.
Philippines Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Philippines passports with a server-side integration.
Pakistan Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Pakistan passports with a server-side integration.
Technical Comparisons & Integrations
Explore platform integrations and competitive analysis
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.
Extracting ECR Status & File Numbers: Generic OCR vs. StructOCR Indian Passport API
Learn why generic text extractors fail to capture critical Indian KYC fields like ECR status and File Numbers, and how a specialized API structures this data automatically.
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.