Full-Field Netherlands Vehicle Registration (Kentekenbewijs) OCR

The Challenge: Extreme Hologram Glare on Plastic Smart Cards

The Netherlands has fully transitioned its vehicle registration (Kentekenbewijs) to a credit-card-sized plastic smart card. While convenient for users, it is an optical nightmare for traditional OCR. The card is coated in intense security holograms and highly reflective laminates. When photographed with a smartphone, flash glare inevitably obscures critical fields. Furthermore, data is packed densely like an MRZ (Machine Readable Zone), requiring extreme precision. Learn more about our glare-reduction capabilities on our Vehicle Registration OCR product page.

Glare Reduction & Precise Field Targeting

StructOCR is specifically engineered to handle highly reflective ID and vehicle cards. Our visual grounding models dynamically reconstruct characters obscured by flash glare and holograms. Utilizing advanced semantic Key-Value mapping, we extract universal specs accurately, while depositing any specific Dutch regulatory codes into our `localized.generic.unmapped_fields` object. Discover how this fits into modern 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("netherlands-kentekenbewijs-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'))
    
    # Netherlands 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("✅ Document Number:", unmapped.get('document_number'))
        print("✅ Voertuigsoort:", unmapped.get('voertuigsoort'))

{
  "success": true,
  "data": {
    "document": {
      "country_code": "NL",
      "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": {
          "document_number": "123456789",
          "voertuigsoort": "Personenauto",
          "massa_ledig_voertuig": "1250 kg"
        }
      }
    }
  }
}