Philippine LTO Driver License OCR API

The Complexity of Philippine LTO Licenses

The Philippine driving license, issued by the Land Transportation Office (LTO), presents unique challenges for automated data extraction. Standard text-recognition engines frequently fail to accurately parse the highly specific 'Restriction Codes' (e.g., 1 for motorcycles, 2 for light vehicles) and 'Conditions' (e.g., A for wearing eyeglasses), which are critical for determining a driver's legal operating capacity. Additionally, varying card materials and temporary paper licenses create optical inconsistencies. To see how our layout-aware identity models overcome these specific regional data extraction challenges, explore our core driver license OCR capabilities.

Edge-Routed Speed & Zero-SDK Architecture

For the Southeast Asian market, mobile application size and network reliability are critical. We deliver our LTO OCR engine as a pure REST API, completely eliminating the need to force bloated SDKs onto your users' devices. Our architecture is natively deployed on Cloudflare's global edge network, meaning API requests originating from Metro Manila or Cebu are processed at the nearest local node for lightning-fast TTFB (Time to First Byte). Whether you send a direct file upload or a Base64-encoded string, our engine returns structured JSON instantly.

High-Growth Use Cases in the Philippines

Integration & AI Prompts

Integrating our API into your backend takes minutes. We natively process direct file uploads, public URLs, and Base64-encoded strings—automatically stripping out illegal whitespaces or newlines to ensure your requests never fail. For comprehensive endpoint parameters, consult our developer documentation.

import requests
import base64

# 1. Prepare Base64 Image of the Philippine LTO License
with open("lto_license_sample.jpg", "rb") as image_file:
    base64_image = base64.b64encode(image_file.read()).decode('utf-8')

url = "https://api.structocr.com/v1/driver-license"
headers = {
    "x-api-key": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

# Pass the pure Base64 string directly
payload = {
    "img": base64_image 
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()

if result.get('success'):
    data = result['data']
    print(f"✅ License Number: {data['document_number']}")
    print(f"✅ Name: {data['surname']}, {data['given_names']}")
    print(f"✅ Restriction Codes: {data['vehicle_class']}")

{
  "success": true,
  "data": {
    "type": "drivers_license",
    "country_code": "PHL",
    "region": "NCR",
    "document_number": "N01-89-123456",
    "personal_number": null,
    "surname": "DELA CRUZ",
    "given_names": "JUAN MIGUEL",
    "sex": "M",
    "date_of_birth": "1985-11-20",
    "place_of_birth": null,
    "date_of_issue": "2023-11-20",
    "date_of_expiry": "2033-11-20",
    "date_of_first_issue": null,
    "issuing_authority": "LTO",
    "address": "123 RIZAL AVENUE, MANILA, METRO MANILA 1000",
    "vehicle_class": "1, 2",
    "extra_details": {}
  }
}