Greece Deltio Taftotitas OCR Python SDK
Instantly extract data from Greek IDs using our native Python library.

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). Variations in layout, font types across different issuing authorities and the presence of machine-readable zones (MRZ) along with inconsistent print quality also complicate accurate data extraction. Furthermore, glare and shadows on laminated cards reduce quality, increasing the difficulties for OCR engines.
Why StructOCR for Greece
Our OCR model is specifically trained on a diverse dataset of Greek Deltio Taftotitas, accounting for layout variations and script complexities. The Python SDK offers a streamlined integration experience, handling image pre-processing and API communication. We ensure highly accurate extraction in a simple, Python-friendly format.
Common Use Cases in Greece
- Digital Onboarding: Verify users for Fintech apps in Greece.
- Telecom Registration: Automate SIM card registration with Deltio Taftotitas.
- Hotel Check-in: Speed up guest registration workflows.
Python SDK Integration
Install the SDK via pip: `pip install structocr`. Then use the following code.
Prerequisite: Python 3.6+ and `structocr` library installed.
from structocr import StructOCR
# 💰 Save 30%+ vs competitors. Get 200 free requests 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
# It automatically detects that this is a Greek document
result = client.scan_national_id(image_path)
# Check success flag (SDK returns a dict matching the JSON response)
if result.get('success'):
data = result['data']
print("✅ Greece Extraction Successful!")
# Basic Identity
print(f"Region: {data.get('country_code')} (Series: {data.get('card_series')})")
print(f"Name: {data.get('given_names')} {data.get('surname')}")
print(f"ID Number: {data.get('document_number')}")
# Critical Field: Personal Identity Number (CNP/CPF/NIN)
print(f"Personal #: {data.get('personal_number')}")
# Demographics
print(f"DOB: {data.get('date_of_birth')} ({data.get('sex')})")
print(f"Address: {data.get('address')}")
else:
print(f"❌ Extraction Failed: {result.get('error')}")
except Exception as e:
# Handle SDK or Network errors
print(f"An error occurred: {e}")
if __name__ == "__main__":
scan_greece_id()Technical Specs
- •Latency: < 5s (Average)
- •Uptime: 98.5% SLA
- •Security: AES-256 Encryption & SOC2 Compliant
- •Input: JPG, PNG, WebP (Max 4.5MB)
- •Output: JSON (Structured Data)
Key Features
- •Native Script Support: Reads English and local characters.
- •Blur Detection: Automatically rejects blurry images.
- •Fraud Check: Validates Deltio Taftotitas number format.
- •Smart Crop: Removes background noise automatically.
JSON Response Example
The SDK returns a Python dictionary matching this JSON structure.
{
"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"
}
}Frequently Asked Questions
Does the Python SDK handle image uploads?
Yes, the SDK automatically handles base64 encoding and file uploads.
Is data stored?
No. Images are processed in-memory and deleted immediately.
How to handle errors?
The SDK result dictionary contains a 'success' boolean and an 'error' message if failed.
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