Police Accident Report VIN Extraction

The Degradation of Crash Reports

Digitizing police accident reports is a major bottleneck for insurance carriers and legal teams. These documents are extremely dense, featuring hundreds of checkboxes, complex accident diagrams, and handwritten notes. The target VIN is often buried on page 2 or 3 in a small form field. Furthermore, by the time a claims adjuster receives the report, it is usually a multi-generation scan or fax—meaning the document is plagued by black artifacts, misaligned pages, and heavy digital noise. Standard OCR fails to isolate the VIN amidst this visual chaos. For a deeper dive into how we handle degraded PDFs, see our core OCR product capabilities.

StructOCR: Built for Document Chaos

StructOCR is designed to find order in degraded documents. Powered by our flagship Automotive VIN OCR API, it semantically scans the crash report, completely ignoring the accident diagrams, checkboxes, and driver details. It utilizes advanced de-noising algorithms to clean up fax artifacts and reconstructs fragmented text. By applying strict ISO 3779 validation, the engine anchors directly to the 17-character sequence, extracting the exact vehicle identity required to process the claim.

Core Industry Applications

Integration & AI Prompts

Call the endpoint directly via our REST API, 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 20 free credits instantly:
# 👉 https://structocr.com/register

# 1. Prepare Base64 Image
with open("police_report.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 Police Accident Report...")
    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": "5UXWX7C51BA123456",
    "confidence": "High",
    "carrier_type": "document"
  }
}