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Canada Provincial Driver's License

Extract data from Canada Provincial Driver's License with high accuracy using our advanced OCR technology.

Request Parameters

Required Parameters

Parameter Type Required Description
image File ✅ Driver's license image file (JPG, PNG, WebP, max 10MB)
documentType String ✅ Must be ca_drivers_license

Response Format

Success Response (200 OK)

{
  "firstName": "JAMES",
  "lastName": "SMITH",
  "licenseNumber": "S1234-56789-01234",
  "dateOfBirth": "1990-01-01",
  "issueDate": "2020-01-01",
  "expiryDate": "2025-01-01",
  "address": "123 YONGE ST, TORONTO, ON M5B 2H1",
  "gender": "M",
  "height": "180 cm",
  "eyeColor": "BLU"
}

Response Fields

Field Type Description
firstName string First name
lastName string Last name
licenseNumber string License number
dateOfBirth string Date of birth (YYYY-MM-DD)
issueDate string Issue date (YYYY-MM-DD)
expiryDate string Expiry date (YYYY-MM-DD)
address string Full address
gender string Gender (M/F)
height string Height
eyeColor string Eye color

Code Examples

cURL

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

JavaScript (Browser)

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

  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 driver\'s license:', error);
    throw error;
  }
}

Python

import requests
import os

def extract_canada_drivers_license_data(image_path, api_key):
    """Extract data from Canada Provincial Driver's License 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': 'ca_drivers_license'}

            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

Node.js

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

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

  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;
  }
}

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