Auto Insurance Policy VIN Extraction

The Chaos of Unstructured Insurance Layouts

Automating data extraction from auto insurance documents is notoriously difficult due to the lack of standardization. Every carrier—from local brokers to global providers—uses a different layout for their Proof of Insurance cards, declarations pages, and ACORD forms. Standard OCR relies on rigid templates (Zonal OCR) to find data, which instantly breaks when a new insurance carrier is introduced or if the document is a low-quality fax/scan. The target data might be labeled as 'VIN', 'Vehicle ID', 'Chassis', or have no label at all. For a deeper dive into how our API handles unstructured data, see our core OCR product capabilities.

StructOCR: Template-Free Semantic Extraction

StructOCR eliminates the need to build and maintain thousands of carrier templates. Powered by our flagship Automotive VIN OCR API, it scans the entire document to semantically identify the automotive structure. It intelligently sifts through policy numbers, driver details, and legal boilerplate. By leveraging strict ISO 3779 validation, the engine instantly locks onto the 17-character sequence regardless of where it appears on the page, digitizing the asset perfectly on the first try.

Core Industry Applications

Integration & AI Prompts

Call the API endpoint directly in your backend, 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("insurance_policy.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 Insurance Document...")
    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": "1G1FX6S05H4123456",
    "confidence": "High",
    "carrier_type": "document"
  }
}