Philippines Voter's ID
Extract data from Philippines Voter's Identification Card with high accuracy using our advanced OCR technology.
Request Parameters
Required Parameters
Parameter |
Type |
Required |
Description |
image |
File |
β
|
Voter's ID image file (JPG, PNG, WebP, max 10MB) |
documentType |
String |
β
|
Must be ph_voters_id |
Response Format
Success Response (200 OK)
{
"vin": "V1234567890",
"firstName": "JUAN",
"lastName": "DELA CRUZ",
"birthday": "1990-01-01",
"civilStatus": "Single",
"citizenship": "Filipino",
"address": "123 MAIN STREET, QUEZON CITY",
"precinctNo": "1234A"
}
Response Fields
Field |
Type |
Description |
Example |
vin |
string |
Voter's Identification Number |
V1234567890 |
firstName |
string |
First name |
JUAN |
lastName |
string |
Last name |
DELA CRUZ |
birthday |
string |
Date of birth (YYYY-MM-DD) |
1990-01-01 |
civilStatus |
string |
Civil status |
Single |
citizenship |
string |
Citizenship |
Filipino |
address |
string |
Registered address |
123 MAIN STREET, QUEZON CITY |
precinctNo |
string |
Precinct number |
1234A |
Code Examples
cURL
curl -X POST "https://pictotext.io/api/v1/ocr" \\
-H "Authorization: Bearer sk_live_123456789abcdef" \\
-F "image=@voters_id.jpg" \\
-F "documentType=ph_voters_id"
JavaScript (Browser)
async function processVotersID(imageFile, apiKey) {
const formData = new FormData();
formData.append('image', imageFile);
formData.append('documentType', 'ph_voters_id');
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 voter\'s ID:', error);
throw error;
}
}
// Usage example
const fileInput = document.getElementById('voters-id-file');
fileInput.addEventListener('change', async (event) => {
const file = event.target.files[0];
if (file) {
try {
const result = await processVotersID(file, 'YOUR_API_KEY');
console.log('Extracted data:', result);
} catch (error) {
alert('Processing failed: ' + error.message);
}
}
});
Python
import requests
import os
def extract_voters_id_data(image_path, api_key):
"""Extract data from voter's ID 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': 'ph_voters_id'}
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_voters_id_data('voters_id.jpg', 'YOUR_API_KEY')
if result:
print("VIN:", result['vin'])
print("Name:", result['firstName'], result['lastName'])
print("Full response:", result)
else:
print("Failed to extract voter's ID data")
Node.js
const FormData = require('form-data');
const fs = require('fs');
const axios = require('axios');
async function processVotersID(imagePath, apiKey) {
const formData = new FormData();
formData.append('image', fs.createReadStream(imagePath));
formData.append('documentType', 'ph_voters_id');
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
processVotersID('./voters_id.jpg', 'YOUR_API_KEY')
.then(result => console.log(result))
.catch(error => console.error('Error:', error.message));
Related Documentation