Ethiopia Passport OCR with the StructOCR Python SDK

Challenges with Ethiopia Passport Verification

Ethiopian passports, like many official documents, present unique challenges for automated data extraction. Issues such as glare on security laminates, intricate background patterns, and variations in print quality can hinder accurate data capture. Our advanced algorithms are specifically designed to overcome these hurdles, making the manual process of inputting data into a passport extraction api a thing of the past.

Why StructOCR for Ethiopia Passports

StructOCR delivers unparalleled accuracy for Ethiopian passport data extraction. Our sophisticated AI models are trained on vast datasets, ensuring high precision even with challenging document conditions. Developers can easily integrate our powerful passport extraction api, streamlining processes for businesses seeking reliable fintech identity verification software and other identity-focused applications. 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 provides a crucial verification solution for travel, allowing airlines and border control to rapidly authenticate Ethiopian travelers. This significantly speeds up check-in and boarding processes.
• Financial Services: Leveraging our advanced fintech identity verification software, financial institutions can automate the KYC onboarding process for Ethiopian customers. This enhances security and compliance while reducing manual effort.

Ethiopia 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_ethiopia_passport():
    image_path = "ethiopia_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_ethiopia_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "ETH",
    "nationality": "ETH",
    "passport_number": "EP123456",
    "surname": "ABEBE",
    "given_names": "DAWIT",
    "sex": "M",
    "date_of_birth": "1987-02-28",
    "place_of_birth": "ADDIS ABABA",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2027-02-27",
    "issuing_authority": "INVEA"
  }
}