Ukraine Passport OCR with the StructOCR Python SDK

Challenges with Ukraine Passport Verification

Extracting accurate data from Ukrainian passports presents unique challenges. Issues such as glare on the laminate overlay, complex background security patterns, and varying print quality can make manual data entry prone to errors. Our advanced machine learning models are specifically trained to overcome these obstacles, ensuring high accuracy when you need a reliable passport extraction api.

Why StructOCR for Ukraine Passports

StructOCR excels in delivering unparalleled accuracy for Ukrainian passport data extraction. Our cutting-edge technology is designed to handle the nuances of these travel documents, providing a seamless experience. We offer a powerful passport extraction api, making it an indispensable tool for businesses requiring swift and precise document processing. This makes our solution ideal as fintech identity verification software or for streamlining travel-related onboarding. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: This provides a crucial verification solution for travel, drastically reducing check-in times for Ukrainian citizens. It automates the process of validating traveler identity against booking information.
• Financial Services: Our fintech identity verification software enables financial institutions to rapidly onboard new customers by automating KYC checks. This ensures regulatory compliance while enhancing the user experience.

Ukraine 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_ukraine_passport():
    image_path = "ukraine_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_ukraine_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "UKR",
    "nationality": "UKR",
    "passport_number": "ER123456",
    "surname": "SHEVCHENKO",
    "given_names": "OLEKSANDR",
    "sex": "M",
    "date_of_birth": "1988-11-11",
    "place_of_birth": "KYIV",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2028-11-10",
    "issuing_authority": "8012"
  }
}