Vietnam Vehicle Registration VIN OCR

The Challenge of Real-World Vietnamese Documents

Processing Vietnamese vehicle registration certificates (Giấy chứng nhận đăng ký xe) involves unique optical hurdles. Real-world captures are rarely perfect flatbed scans. They are frequently low-quality photos shared via messaging apps like Zalo, often taken of a computer screen (introducing severe moiré patterns). Furthermore, the critical Chassis Number (Số khung) is routinely obscured by large, red official stamps and signatures. Standard OCR engines struggle with this intense visual noise and the complex diacritics of the Vietnamese language surrounding the alphanumeric data. For a deeper dive into these technical hurdles, see our core OCR product capabilities.

Engineered for 'In-the-Wild' Precision

StructOCR isolates the exact location of the Chassis Number by bypassing red ink artifacts, background patterns, and screen glare. Powered by our Automotive VIN OCR API, the system aggressively filters out non-alphanumeric noise caused by stamps. It strictly enforces ISO 3779 validation, automatically correcting visual misidentifications (e.g., distinguishing between 'O', 'Q', and '0' even when heavily compressed) to ensure perfect 17-character outputs.

Core Industry Applications

Integration & AI Prompts

Our robust API accepts direct file uploads or Base64-encoded strings, making it trivial to process images directly from your users' mobile devices or backend storage. Copy the prompt below into Cursor or v0 to generate your frontend.

import requests
import base64

# 💰 Save 30%+ vs competitors. Get 200 free credits instantly:
# 👉 https://structocr.com/register

# 1. Prepare Base64 Image (Supports raw files or Base64 strings)
with open("vietnam_registration_zalo.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 Vietnamese Registration Card...")
    response = requests.post(url, headers=headers, json=payload)
    result = response.json()

    if result.get('success'):
        data = result['data']
        print("✅ Extraction Successful!")
        print(f"VIN (Số khung): {data.get('vin')}")
        print(f"Confidence:     {data.get('confidence')}")
    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": "LSVSH7C61RN020846",
    "confidence": "High",
    "carrier_type": "document"
  }
}