Arabic Vehicle Registration VIN OCR

The Complexity of MENA Vehicle Documents

Processing vehicle registration documents from Arab countries presents unique optical challenges. The primary obstacle is the bi-directional text environment—mixing Right-to-Left (RTL) Arabic field labels like 'رقم الهيكل' (Chassis Number) with Left-to-Right (LTR) alphanumeric outputs like the 17-digit VIN. Standard OCR engines frequently misalign these reading orders, corrupting the extracted strings. For a deeper dive into these technical hurdles, see our core OCR product capabilities.

StructOCR: Built for Precision and ISO Compliance

StructOCR isolates the exact location of the Chassis Number, ignoring background guilloche patterns. More importantly, this API is powered by our flagship Automotive VIN OCR engine. It doesn't just read text; it applies strict ISO 3779 validation. The system automatically normalizes characters to uppercase, strips non-alphanumeric noise, and auto-corrects common visual misidentifications (e.g., converting the letter 'O' or 'Q' to the number '0').

Core Industry Applications

Integration & AI Prompts

Call the endpoint directly, or copy the prompt below into Cursor, Lovable, or v0 to instantly generate your frontend application.

import requests
import base64

# 💰 Save 30%+ vs competitors. Get 200 free credits instantly:
# 👉 https://structocr.com/register

# 1. Prepare Base64 Image
with open("arabic_registration.jpg", "rb") as image_file:
    base64_image = base64.b64encode(image_file.read()).decode('utf-8')

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

try:
    print("Scanning Arabic Registration Card...")
    response = requests.post(url, headers=headers, json=payload)
    result = response.json()

    if result.get('success'):
        data = result['data']
        print("✅ Extraction Successful!")
        print(f"VIN:          {data.get('vin')}")
        print(f"Confidence:   {data.get('confidence')}")
        print(f"Carrier Type: {data.get('carrier_type')}")
    else:
        print(f"❌ Extraction Failed: {result.get('error')} - {result.get('message')}")

except Exception as e:
    print(f"An error occurred: {e}")

{
  "success": true,
  "data": {
    "vin": "WVWZZZAUZGW000404",
    "confidence": "High",
    "carrier_type": "document"
  }
}