Full-Field Saudi Arabia Vehicle Registration (Istimara) OCR

The Challenge: Bilingual Layouts and Sequence Number Confusion

Saudi vehicle registration cards (Istimara) pose unique challenges. They feature a bilingual Arabic and English layout with critical data points scattered across the card. A major pain point for traditional OCR is the business logic confusion between the 4-digit plate number and the vehicle sequence number (الرقم التسلسلي)—typically a 9-digit number located at the very bottom. Incorrectly mapping these fields completely disrupts insurance underwriting and TGA compliance. Learn more about our robust field isolation capabilities on our Vehicle Registration OCR product page.

Semantic Parsing & Strict Saudi Localization

StructOCR is specifically engineered to conquer the Istimara. Our engine uses advanced semantic Key-Value mapping that understands the structural difference between plate numbers and sequence numbers. It perfectly isolates English and Arabic text. Crucially, it dynamically returns a `localized.saudi.tga_plate_details` object, ensuring the sequence number and specific plate characters (right, middle, left) are perfectly parsed for TGA integrations. 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("saudi_istimara.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 'saudi' in loc:
        tga = loc['saudi'].get('tga_plate_details', {})
        print("✅ Saudi Sequence No:", tga.get('sequence_number'))
        print("✅ Saudi Plate Type:", tga.get('plate_type_normalized'))

{
  "success": true,
  "data": {
    "document": {
      "country_code": "SA",
      "document_type": "VEHICLE_REGISTRATION",
      "confidence_score": 0.99
    },
    "standardized": {
      "vin": "WA1UABAG1JX123456",
      "plate": {
        "number": "9999",
        "formatted": "9999 ABC"
      },
      "make_normalized": "Toyota",
      "year": 2023
    },
    "localized": {
      "saudi": {
        "tga_plate_details": {
          "sequence_number": "123456789",
          "letter_right": "A",
          "letter_middle": "B",
          "letter_left": "C",
          "plate_type_normalized": "Private"
        }
      }
    }
  }
}