Full-Field Spain Vehicle Registration (Permiso de Circulación) OCR

The Challenge: Complex Backgrounds and EU Nomenclature

The Spanish Permiso de Circulación is a green, folded paper document featuring complex background security patterns. Like other EU documents, it relies heavily on standardized but cryptic alphanumeric codes (such as J, P.1, and D.1) rather than plain-text labels. Furthermore, it contains Spanish-specific terminology that confuses generic OCR engines, often resulting in background watermarks being mistakenly parsed as text. Learn more about our robust capabilities on our Vehicle Registration OCR product page.

Watermark Immunity & Semantic Parsing

StructOCR utilizes advanced visual grounding to completely ignore the dense green security backgrounds of the Permiso de Circulación. Our LLM-backed semantic mapping understands Spanish vehicle terminology alongside EU standard codes. Universal data like VINs are standardized, while specific regulatory codes are dynamically captured into our `localized.generic.unmapped_fields` object. Discover how this fits into broader European 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("spain-permiso-de-circulacion-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'))
    
    # Spain 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("✅ D 1:", unmapped.get('d_1'))
        print("✅ P 1:", unmapped.get('p_1'))

{
  "success": true,
  "data": {
    "document": {
      "country_code": "ES",
      "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": {
          "d_1": "SEAT",
          "p_1": "1390",
          "j": "M1"
        }
      }
    }
  }
}