Full-Field Egypt Vehicle Registration (Vehicle License (رخصة مركبة)) OCR

The Challenge: Arabic Script and Extreme Card Degradation

The Egyptian Vehicle License (رخصة مركبة) is a highly challenging document. It relies heavily on Arabic script, which is cursive and lacks clear character separation, making it notoriously difficult for standard OCR engines. Furthermore, the physical cards are often heavily laminated, severely scratched, or faded due to intense sun exposure and wear. In some legacy cases, critical fields may even feature handwritten annotations. Learn more about our robust Arabic parsing capabilities on our Vehicle Registration OCR product page.

Native Arabic NLP & Degraded Image Recovery

StructOCR is specifically engineered to handle the complexities of MENA region documents. Our engine incorporates deep learning models trained specifically for Arabic typography and degraded physical cards. It accurately reconstructs scratched or faded text. Using advanced semantic mapping, it locates universal fields (VIN, Make) while capturing localized Arabic text directly into our `localized.generic.unmapped_fields` object. Discover how this fits into broader automotive workflows in our Vehicle Registration Solutions guide.

Core Industry Applications

Integration & API Documentation

Easily integrate our full-field OCR API. For full technical details, visit our Developer API Documentation.

import requests
import base64

# 📸 Test for free with your own image upload: https://structocr.com/developers/vehicle-registration-ocr

with open("egypt-vehicle-license-full-ocr.jpg", "rb") as image_file:
    base64_image = base64.b64encode(image_file.read()).decode('utf-8')

url = "https://api.structocr.com/v1/vehicle-registration"
headers = {
    "x-api-key": "YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "img": base64_image
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()

if result.get('success'):
    data = result.get('data', {})
    std = data.get('standardized', {})
    print("✅ Standardized VIN:", std.get('vin'))
    
    # Egypt specific fields are captured in the generic fallback
    loc = data.get('localized', {})
    if 'generic' in loc and loc['generic'].get('unmapped_fields'):
        unmapped = loc['generic']['unmapped_fields']
        print("✅ Owner Name Arabic:", unmapped.get('owner_name_arabic'))
        print("✅ Motor Number:", unmapped.get('motor_number'))

{
  "success": true,
  "data": {
    "document": {
      "country_code": "EG",
      "document_type": "VEHICLE_REGISTRATION",
      "confidence_score": 0.98
    },
    "standardized": {
      "vin": "SAMPLEVIN12345678",
      "plate": {
        "number": "ABC-123",
        "formatted": "ABC 123"
      },
      "make_normalized": "Toyota",
      "year": 2020
    },
    "localized": {
      "generic": {
        "unmapped_fields": {
          "owner_name_arabic": "أحمد محمد محمود",
          "motor_number": "12345678",
          "expiration_date": "2025-10-01"
        }
      }
    }
  }
}