Full-Field UAE Vehicle Registration (Mulkiya) OCR

The Challenge: Bilingual Tables and Dense Watermarks

UAE vehicle registration cards (Mulkiya) present a high-density, bilingual tabular layout. Standard OCR engines often fail because they cannot accurately separate the foreground alphanumeric text from the intricate gold and yellow background security patterns. In addition, the mix of Arabic and English text, alongside barcodes and official stamps, makes identifying specific fields highly challenging. For a deeper dive into how we handle complex backgrounds and full-field extraction, see our Vehicle Registration OCR product page.

Semantic Parsing & Localized Data Delivery

StructOCR intelligently maps the bilingual key-value pairs, completely ignoring the heavy security patterns, stamps, and barcodes found on UAE registration cards. Our engine uses advanced semantic parsing to locate both universal fields (VIN, Make, Year) and localized UAE data points. Most importantly, it dynamically returns a `localized.uae` object containing critical structured data like `engine_number`, `vehicle_class`, `origin`, and weight metrics. Discover how this fits into broader compliance 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("uae_mulkiya.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'))
    print("✅ Standardized Plate:", std.get('plate', {}).get('formatted'))
    
    loc = data.get('localized', {})
    if 'uae' in loc:
        uae_data = loc['uae']
        print("✅ UAE Localized (Engine No):", uae_data.get('engine_number'))
        print("✅ UAE Localized (Vehicle Class):", uae_data.get('vehicle_class'))

{
  "success": true,
  "data": {
    "document": {
      "country_code": "AE",
      "document_type": "VEHICLE_REGISTRATION",
      "confidence_score": 0.99
    },
    "standardized": {
      "vin": "WA1UABAG1JX123456",
      "plate": {
        "number": "12345",
        "formatted": "A 12345"
      },
      "make_normalized": "Audi",
      "year": 2022
    },
    "localized": {
      "uae": {
        "engine_number": "CDNA123456",
        "origin": "GERMANY",
        "vehicle_class": "Light Vehicle",
        "gross_vehicle_weight": 2500,
        "empty_weight": 2000,
        "number_of_passengers": 5
      }
    }
  }
}