India Aadhaar Front
Extract data from Indian Aadhaar card front side with high accuracy using our advanced OCR technology.
Request Parameters
Required Parameters
Parameter |
Type |
Required |
Description |
image |
File |
β
|
Aadhaar card front image file (JPG, PNG, WebP, max 10MB) |
documentType |
String |
β
|
Must be in_aadhaar_front |
Response Format
Success Response (200 OK)
{
"cardNumber": "123456789012",
"dateOfBirth": "1990-01-01",
"downloadDate": "2023-01-01",
"gender": "Male",
"issueDate": "2020-01-01",
"mobileNumber": "+919876543210",
"name": "RAJESH KUMAR",
"vid": "112233445566"
}
Response Fields
Field |
Type |
Description |
Example |
cardNumber |
string |
12-digit Aadhaar card number |
123456789012 |
dateOfBirth |
string |
Date of birth (YYYY-MM-DD) |
1990-01-01 |
downloadDate |
string |
Date when Aadhaar was downloaded |
2023-01-01 |
gender |
string |
Gender |
Male |
issueDate |
string |
Issue date of Aadhaar card |
2020-01-01 |
mobileNumber |
string |
Registered mobile number |
+919876543210 |
name |
string |
Full name as on Aadhaar card |
RAJESH KUMAR |
vid |
string |
Virtual ID number |
112233445566 |
Code Examples
cURL
curl -X POST "https://pictotext.io/api/v1/ocr" \\
-H "Authorization: Bearer sk_live_123456789abcdef" \\
-F "image=@aadhaar_front.jpg" \\
-F "documentType=in_aadhaar_front"
JavaScript (Browser)
async function processAadhaarFront(imageFile, apiKey) {
const formData = new FormData();
formData.append('image', imageFile);
formData.append('documentType', 'in_aadhaar_front');
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 Aadhaar card:', error);
throw error;
}
}
// Usage example
const fileInput = document.getElementById('aadhaar-file');
fileInput.addEventListener('change', async (event) => {
const file = event.target.files[0];
if (file) {
try {
const result = await processAadhaarFront(file, 'YOUR_API_KEY');
console.log('Extracted data:', result);
} catch (error) {
alert('Processing failed: ' + error.message);
}
}
});
Python
import requests
import os
def extract_aadhaar_front_data(image_path, api_key):
"""Extract data from Aadhaar card front 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_aadhaar_front'}
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_aadhaar_front_data('aadhaar_front.jpg', 'YOUR_API_KEY')
if result:
print("Aadhaar Number:", result['cardNumber'])
print("Name:", result['name'])
print("Full response:", result)
else:
print("Failed to extract Aadhaar data")
Node.js
const FormData = require('form-data');
const fs = require('fs');
const axios = require('axios');
async function processAadhaarFront(imagePath, apiKey) {
const formData = new FormData();
formData.append('image', fs.createReadStream(imagePath));
formData.append('documentType', 'in_aadhaar_front');
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
processAadhaarFront('./aadhaar_front.jpg', 'YOUR_API_KEY')
.then(result => console.log(result))
.catch(error => console.error('Error:', error.message));
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