Credit Card OCR API 🔍

Credit Card Information Extraction API

Extract credit card information (number, name, expiry date, security code) from images with high accuracy using advanced LLM models. Optimized for performance and precision.

Try Demo!

Example Images (Click to try)

API Key

Demo key is limited to 10 requests per day per IP
Click here to get your API key

Endpoint URL

cURL Command

Upload Passport

🚀 Features

• High Accuracy - 96.43% overall extraction accuracy
• Fast Processing - Average response time under 0.8 seconds
• Multiple Image Formats - JPG, JPEG, PNG, BMP, TIFF, WebP, HEIC
• Complete Card Data - Extracts card number, name, expiry date, and security code

📈 Performance Benchmark

API Response Time (10 requests):

• Success Rate: 100.0%
• Min Time: 0.794s
• Max Time: 0.804s
• Avg Time: 0.795s

🎯 Accuracy (21 test images)

• Overall: 96.43% accuracy, 2.62% CER (Character Error Rate)

Field	Accuracy	CER
Card Number	95.24%	0.95%
Name	100%	0.0%
Expiry Date	100%	0.0%
Security Code	90.48%	9.52%

📡 API Endpoints

🔹 Credit Card Information Extraction

POST /extract/credit-card
Content-Type: multipart/form-data

Params:

• card_image: Image file containing credit card (JPG, PNG, etc.)

Example:

curl -X POST "https://api.iapp.co.th/v1/image/extract/credit-card" \
  -H "apikey: YOUR_API_KEY" \
  -F "card_image=@/path/to/credit-card.jpg"

Response:

{
    "card_number": "4111 1111 1111 1111",
    "name": "JOHN DOE",
    "expiry_date": "12/25",
    "security_code": "123"
}

🔹 Health Check

GET /health

Example:

curl -X GET "https://api.iapp.co.th/v1/image/health" \
  -H "apikey: YOUR_API_KEY"

Response:

{
    "status": "healthy",
    "model_loaded": true,
    "version": "1.0"
}

🐍 Python Code Example

import requests

def extract_credit_card_info(image_path, api_key, api_url="https://api.iapp.co.th/v1/image"):
    """
    Extract credit card information from an image

    Args:
        image_path (str): Path to the credit card image
        api_key (str): Your API key
        api_url (str): Base URL of the API

    Returns:
        dict: Extracted credit card information
    """
    headers = {
        "apikey": api_key
    }

    files = {
        "card_image": open(image_path, "rb")
    }

    response = requests.post(
        f"{api_url}/extract/credit-card",
        headers=headers,
        files=files
    )

    response.raise_for_status()  # Raise exception for HTTP errors
    return response.json()

# Example usage:
# result = extract_credit_card_info("card.jpg", api_key="YOUR_API_KEY")
# print(f"Card Number: {result['card_number']}")
# print(f"Name: {result['name']}")
# print(f"Expiry Date: {result['expiry_date']}")
# print(f"Security Code: {result['security_code']}")

⚠️ Errors

Code	Description
400	Invalid request (image format not supported or corrupted)
401	Missing or invalid API key
415	Unsupported media type
422	Unable to extract information (poor image quality)
429	Rate limit exceeded
500	Internal server error

✅ Summary

• 🔍 Accurate credit card data extraction
• 🚀 Fast processing in under 0.8 seconds
• 🎯 High field-level accuracy (96.43% overall)
• 📸 Supports multiple image formats
• 🔒 Secure API with authentication