Romania Passport OCR with the StructOCR Python SDK

Challenges with Romania Passport Verification

Extracting accurate data from Romanian passports presents unique challenges. Issues like glare on the laminate, complex security backgrounds, and the precise positioning of information fields can hinder manual data entry and even basic OCR attempts. Our advanced **passport extraction api** is engineered to overcome these obstacles, ensuring high accuracy even with imperfect document scans.

Why StructOCR for Romania Passports

StructOCR offers unparalleled accuracy for Romanian passport data extraction. Our specialized engine understands the nuances of the Romanian passport layout, delivering reliable results where other solutions falter. Leveraging our cutting-edge technology, you gain access to a powerful passport extraction api, making it an integral part of your fintech identity verification software or any travel-related workflow. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Streamline passenger onboarding and document checks with our robust **verification solution for travel**. This technology significantly speeds up check-in and security processes for Romanian citizens.
• Financial Services: Enhance your Know Your Customer (KYC) procedures by integrating our leading **fintech identity verification software**. Automate customer onboarding and reduce manual errors in identity document processing.

Romania 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_romania_passport():
    image_path = "romania_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_romania_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "ROU",
    "nationality": "ROU",
    "passport_number": "051234567",
    "surname": "POPESCU",
    "given_names": "ANDREI",
    "sex": "M",
    "date_of_birth": "1994-02-14",
    "place_of_birth": "BUCHAREST",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2034-02-13",
    "issuing_authority": "DGEP"
  }
}