Greece Deltio Taftotitas OCR Python SDK

Instantly extract dual-script visual data and validate cryptographic MRZ checksums from Greek IDs using our native Python library.

AI extracting Greek and Latin text along with TD1 MRZ from a Greece Deltio Taftotitas
StructOCR engine analyzing a Greek document, handling dual-script data, and cross-validating the MRZ in real-time.

Parsing Deltio Taftotitas Challenges

Greek Deltio Taftotitas presents unique challenges due to the use of both Greek and Latin scripts, often within the same field (e.g., place of birth: ΑΘΗΝΑ / ATHENS). With the introduction of the new biometric e-ID format, OCR engines must transition from handling legacy laminated cards to accurately extracting and validating the Machine-Readable Zone (MRZ) on the new EU-standard cards, requiring precise ICAO transliteration from Greek characters to Latin MRZ format.

Why StructOCR for Greece

Our OCR model is specifically trained on a diverse dataset of Greek Deltio Taftotitas, supporting both legacy formats and the new biometric e-IDs. The Python SDK effortlessly handles Greek-Latin script complexities for information parsing. It automatically preprocesses images to reduce glare and strictly parses the embedded TD1 MRZ, making our id parsing api a robust, highly-secure solution for developers.

Common Use Cases in Greece

  • Digital Onboarding: Verify users for Fintech apps in Greece by seamlessly matching dual-script VIZ data against the cryptographic MRZ.
  • Telecom Registration: Automate SIM card registration with flawless Greek address extraction and MRZ validation.
  • Hotel Check-in: Speed up guest registration workflows with automated e-ID MRZ scanning.

Live Demo: ID card scanner

No registration required. Upload a file to test the extraction.

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Python SDK Integration

Install the SDK via pip: `pip install structocr`. The SDK automatically maps Greek visual fields and extracts the raw TD1 MRZ lines.

Prerequisite: Python 3.6+ and `structocr` library installed.

from structocr import StructOCR

# 💰 Save 30%+ vs competitors. Get 200 free credits instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")

def scan_greece_id():
    # Note: Supports JPG, PNG, WebP (Max 4.5MB)
    # Target: Deltio Taftotitas
    image_path = "greece_national_id.jpg"

    try:
        print(f"Scanning {image_path}...")
        
        # The SDK handles file upload and API communication
        result = client.scan_national_id(image_path)

        if result.get('success'):
            data = result['data']
            print("✅ Greece Extraction Successful!")
            
            # Basic Identity
            print(f"Region:      {data.get('country_code')}")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"ID Number:   {data.get('document_number')}")
            
            # Demographics
            print(f"DOB:         {data.get('date_of_birth')} ({data.get('sex')})")
            print(f"Address:     {data.get('address')}")
            
            # Extract TD1 MRZ Data (From new e-IDs)
            additional = data.get('additional_fields', {})
            if additional.get('mrz_line_1'):
                print("\n🔍 MRZ Data Extracted & Validated:")
                print(f"Line 1: {additional.get('mrz_line_1')}")
                print(f"Line 2: {additional.get('mrz_line_2')}")
                print(f"Line 3: {additional.get('mrz_line_3')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    scan_greece_id()

Technical Specs

  • Latency: < 4s (Average)
  • Uptime: 99.9% SLA
  • Security: AES-256 Encryption & SOC2 Compliant
  • Input: JPG, PNG, WebP (Max 4.5MB)
  • Output: JSON (Structured Data + MRZ Block)

Key Features

  • Dual-Script Engine: Natively parses both Greek and Latin characters within the same visual document field.
  • Hybrid VIZ + MRZ AI: Cross-validates unstructured visual data against cryptographic TD1 MRZ checksums, utilizing ICAO transliteration rules.
  • Blur Detection: Automatically rejects blurry images from laminated reflections.
  • Smart Crop: Removes background noise automatically, ideal for mobile photo submissions.

JSON Response Example

The SDK returns a Python dictionary matching this JSON structure, including native Greek visual data and the machine-readable Latin MRZ block from the e-ID.

{
  "success": true,
  "data": {
    "type": "national_id",
    "country_code": "GRC",
    "nationality": "ΕΛΛΗΝΙΚΗ / HELLENIC",
    "document_number": "AN 123456",
    "card_series": "",
    "personal_number": "",
    "surname": "ΠΑΠΑΔΟΠΟΥΛΟΣ",
    "given_names": "ΓΕΩΡΓΙΟΣ",
    "sex": "M",
    "date_of_birth": "1990-05-15",
    "place_of_birth": "ΑΘΗΝΑ / ATHENS",
    "address": "Ερμού 15, 105 63 Αθήνα",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-01-01",
    "issuing_authority": "Τ.Α. ΣΥΝΤΑΓΜΑΤΟΣ",
    "additional_fields": {
      "tramite_number": null,
      "mrz_line_1": "IDGRCAN123456<0<<<<<<<<<<<<<<<",
      "mrz_line_2": "9005156M3001018GRC<<<<<<<<<<<4",
      "mrz_line_3": "PAPADOPOULOS<<GEORGIOS<<<<<<<<"
    }
  }
}

Frequently Asked Questions

Does the SDK support the MRZ on the new Greek biometric e-IDs?

Yes. Our engine extracts the TD1 format MRZ lines located on the back of the new Greek identity cards and runs the ICAO 9303 checksum verification to ensure authenticity.

How does it handle Greek names in the MRZ validation?

The MRZ strictly uses Latin characters. StructOCR automatically applies standard ICAO transliteration rules to map the Visual Zone's Greek characters (e.g., ΓΕΩΡΓΙΟΣ) to the MRZ's Latin characters (GEORGIOS) during validation.

Are legacy Greek IDs without MRZ supported?

Yes, our OCR engine dynamically detects the document generation and falls back to pure Visual Zone (VIZ) extraction if a legacy ID lacking an MRZ is submitted.

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