Thai Vehicle Registration (Lem Tabian) VIN OCR

The Optical Challenge of the Thai Language

Processing the Thai vehicle registration book (Lem Tabian) introduces severe parsing challenges for standard data extraction tools. The primary issue is that the Thai language lacks explicit word boundaries—words are written continuously without spaces. Additionally, Thai script utilizes complex superscript and subscript diacritics. When a pure alphanumeric, 17-character VIN is embedded within these dense Thai paragraphs, traditional OCR engines frequently suffer from boundary truncation errors, merging surrounding Thai characters with the VIN. To understand how our engine solves complex linguistic extraction, explore our core OCR product capabilities.

Precision Extraction for Lem Tabian

StructOCR is purpose-built to navigate the visual density of Thai registration documents as part of our comprehensive industry solutions. Our API utilizes specialized boundary-detection algorithms that isolate the 17-character Chassis Number (หมายเลขตัวรถ) without bleeding into adjacent Thai text. By strictly enforcing ISO 3779 validation, the engine mathematically guarantees that the output string contains only valid vehicle identification characters, instantly discarding any surrounding linguistic noise or diacritics.

Core Industry Applications in Thailand

Integration & AI Prompts

Deploy highly accurate Lem Tabian parsing in minutes. Call the REST API directly or use the prompt below in Cursor or v0 to scaffold your frontend upload component.

import requests
import base64

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# 👉 https://structocr.com/register

# 1. Prepare Base64 Image of the Thai Blue Book
with open("thai_lem_tabian.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 Thai Vehicle Registration Book...")
    response = requests.post(url, headers=headers, json=payload)
    result = response.json()

    if result.get('success'):
        data = result['data']
        print("✅ Extraction Successful!")
        print(f"VIN (หมายเลขตัวรถ): {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": "MRHMM8L2B00123456",
    "confidence": "High",
    "carrier_type": "document"
  }
}