Philippines Passport OCR with the StructOCR Python SDK

Challenges with Philippines Passport Verification

Extracting accurate data from Filipino passports can be challenging due to varying laminate finishes, potential glare on security features, and intricate background designs. Manual data entry is time-consuming and prone to human error, making a reliable passport extraction api essential for efficient processing.

Why StructOCR for Philippines Passports

StructOCR offers unparalleled accuracy for Philippines passport data extraction. Our advanced machine learning models are specifically trained to overcome common document variations, ensuring high-fidelity results. Whether you need a passport extraction api for your application or a comprehensive fintech identity verification software solution, our SDK provides the robust performance you require. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Our technology serves as a crucial verification solution for travel, significantly reducing check-in times for Filipino citizens by instantly validating passport details. This streamlines the passenger experience and improves operational efficiency.
• Financial Services: Leveraging our fintech identity verification software automates the Know Your Customer (KYC) onboarding process for financial institutions. This ensures compliance and speeds up account opening for new clients.

Philippines Passport OCR with the Python SDK

The official Python SDK handles file encoding, API communication, and structured passport results. Use the SDK directly or open the FastAPI tab for a server endpoint. Keep your API key in STRUCTOCR_API_KEY.

Prerequisite: `pip install structocr`; set the server-side `STRUCTOCR_API_KEY` environment variable.

Prefer another stack? Open the Node.js SDK + Express integration.

import os
from structocr import StructOCR

# Initialize StructOCR Client
client = StructOCR(os.environ["STRUCTOCR_API_KEY"])

def scan_philippines_passport():
    image_path = "philippines_passport_sample.jpg"

    try:
        print(f"Scanning {image_path}...")
        result = client.scan_passport(image_path)

        if result.get('success'):
            data = result['data']
            print("✅ Passport Extraction Successful!")
            print(f"Passport #:  {data.get('passport_number')}")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"Nationality: {data.get('nationality')}")
            print(f"DOB:         {data.get('date_of_birth')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    scan_philippines_passport()

JSON Response Example

The Python SDK returns a dictionary matching this normalized JSON structure.

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "PHL",
    "nationality": "PHL",
    "passport_number": "P1234567A",
    "surname": "SANTOS",
    "given_names": "JUAN",
    "sex": "M",
    "date_of_birth": "1992-10-20",
    "place_of_birth": "MANILA",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2032-10-19",
    "issuing_authority": "DFA MANILA"
  }
}