Door Jamb Compliance Label VIN OCR

The Challenge of Door Jamb Safety Labels

The B-pillar or door jamb safety certification label is a primary data source for automotive inspections. However, scanning these labels in the field is difficult: they are often oriented vertically depending on the door hinge, forcing the OCR engine to handle arbitrary text rotation. Furthermore, these labels are packed with secondary technical data—such as GVWR weight specifications and federal safety standards—which act as massive visual distractors. Traditional OCR engines struggle to ignore this 'boilerplate' text to focus solely on the 17-character VIN. For a deeper dive into how we isolate specific data structures, see our core OCR product capabilities.

StructOCR: Built for Rotated and Dense Labels

StructOCR automatically detects and normalizes text orientation, meaning the API works perfectly even if the inspector takes a sideways or upside-down photo. Powered by our flagship Automotive VIN OCR engine, it scans the entire label, explicitly filtering out weight specifications, safety compliance text, and barcode patterns. It locks onto the VIN using strict ISO 3779 validation, ensuring the final output is 100% accurate and ready for database entry.

Core Industry Applications

Integration & AI Prompts

Call the endpoint directly, 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("door_jamb_label.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 Door Jamb Compliance Label...")
    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": "2C3CDXBT6GH123456",
    "confidence": "High",
    "carrier_type": "document"
  }
}