PicToText LogoPicToText

Documentation

India PAN Card

Extract data from Indian PAN (Permanent Account Number) card with high accuracy using our advanced OCR technology.

Request Parameters

Required Parameters

Parameter Type Required Description
image File ✅ PAN card image file (JPG, PNG, WebP, max 10MB)
documentType String ✅ Must be in_pan

Response Format

Success Response (200 OK)

{
  "cardNumber": "ABCDE1234F",
  "dateOfBirth": "1990-01-01",
  "fatherName": "RAMESH KUMAR",
  "name": "RAJESH KUMAR"
}

Response Fields

Field Type Description Example
cardNumber string 10-character PAN number ABCDE1234F
dateOfBirth string Date of birth (YYYY-MM-DD) 1990-01-01
fatherName string Father's name RAMESH KUMAR
name string Cardholder's full name RAJESH KUMAR

Code Examples

cURL

curl -X POST "https://pictotext.io/api/v1/ocr" \\
  -H "Authorization: Bearer sk_live_123456789abcdef" \\
  -F "image=@pan_card.jpg" \\
  -F "documentType=in_pan"

JavaScript (Browser)

async function processPANCard(imageFile, apiKey) {
  const formData = new FormData();
  formData.append('image', imageFile);
  formData.append('documentType', 'in_pan');

  try {
    const response = await fetch('https://pictotext.io/api/v1/ocr', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${apiKey}`
      },
      body: formData
    });

    if (!response.ok) {
      const error = await response.json();
      throw new Error(error.error.message);
    }

    return await response.json();
  } catch (error) {
    console.error('Error processing PAN card:', error);
    throw error;
  }
}

// Usage example
const fileInput = document.getElementById('pan-file');
fileInput.addEventListener('change', async (event) => {
  const file = event.target.files[0];
  if (file) {
    try {
      const result = await processPANCard(file, 'YOUR_API_KEY');
      console.log('Extracted data:', result);
    } catch (error) {
      alert('Processing failed: ' + error.message);
    }
  }
});

Python

import requests
import os

def extract_pan_data(image_path, api_key):
    """Extract data from PAN card image"""

    url = 'https://pictotext.io/api/v1/ocr'
    headers = {'Authorization': f'Bearer {api_key}'}

    try:
        with open(image_path, 'rb') as f:
            files = {
                'image': (os.path.basename(image_path), f, 'image/jpeg')
            }
            data = {'documentType': 'in_pan'}

            response = requests.post(url, headers=headers, files=files, data=data, timeout=30)
            response.raise_for_status()

            return response.json()

    except requests.exceptions.RequestException as e:
        print(f"Request failed: {e}")
        if hasattr(e, 'response') and e.response is not None:
            print(f"Status code: {e.response.status_code}")
            print(f"Error response: {e.response.text}")
        return None

# Usage
result = extract_pan_data('pan_card.jpg', 'YOUR_API_KEY')
if result:
    print("PAN Number:", result['cardNumber'])
    print("Name:", result['name'])
    print("Full response:", result)
else:
    print("Failed to extract PAN data")

Node.js

const FormData = require('form-data');
const fs = require('fs');
const axios = require('axios');

async function processPANCard(imagePath, apiKey) {
  const formData = new FormData();
  formData.append('image', fs.createReadStream(imagePath));
  formData.append('documentType', 'in_pan');

  try {
    const response = await axios.post('https://pictotext.io/api/v1/ocr', formData, {
      headers: {
        ...formData.getHeaders(),
        'Authorization': `Bearer ${apiKey}`
      }
    });

    return response.data;
  } catch (error) {
    if (error.response) {
      console.error('API Error:', error.response.data);
    }
    throw error;
  }
}

// Usage
processPANCard('./pan_card.jpg', 'YOUR_API_KEY')
  .then(result => console.log(result))
  .catch(error => console.error('Error:', error.message));

Related Documentation