Full-Field Italy Vehicle Registration (Carta di Circolazione) OCR

The Challenge: 4-Quadrant Layouts and Cryptic EU Codes

The Italian vehicle registration certificate (Carta di Circolazione or 'Libretto') is a dense, multi-page paper document folded into 4 quadrants. When users photograph it, perspective distortion and fold creases are inevitable. Crucially, like France and Germany, it relies on cryptic EU standard alphanumeric codes (e.g., J.1 for vehicle class, P.5 for engine type) rather than explicit labels, making template-based extraction impossible. Learn more about our robust semantic parsing capabilities on our Vehicle Registration OCR product page.

Fold Correction & Dynamic EU Fallback

StructOCR is specifically engineered to conquer EU documents like the Carta di Circolazione. Our visual models flatten fold creases and deskew perspective distortion. Our semantic Key-Value mapping intelligently maps universal fields (VIN, Make) while dynamically sorting cryptic Italian/EU codes into a `localized.generic.unmapped_fields` object, preserving all regulatory data. Discover how this fits into cross-border 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("italy-carta-di-circolazione-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'))
    
    # Italy 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("✅ J 1:", unmapped.get('j_1'))
        print("✅ P 5:", unmapped.get('p_5'))

{
  "success": true,
  "data": {
    "document": {
      "country_code": "IT",
      "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": {
          "j_1": "M1",
          "p_5": "199A3000",
          "v_9": "2003/76/CE-B"
        }
      }
    }
  }
}