Estonia ID-kaart OCR Python SDK
Instantly extract data from Estonian IDs (ID-kaart) using our native Python library.

Parsing ID-kaart Challenges
The Estonian Identity Card (ID-kaart) is one of the most advanced electronic IDs globally, but visually parsing its layout introduces unique OCR challenges. Accurately extracting the eleven-digit Personal Identification Code (Isikukood), handling bilingual field labels (Estonian/English), and scanning the multi-line MRZ on the reverse require highly specialized computer vision models.
Why StructOCR for Estonia
StructOCR's model is specifically trained on a large dataset of Estonian ID images, ensuring high accuracy for national id ocr extraction. The Python SDK simplifies the integration process with just a few lines of code, allowing you to instantly extract structural data, including the Isikukood mapped to the personal number field, and automate your verification workflows.
Common Use Cases in Estonia
- Digital Onboarding & e-Residency: Verify local citizens and global e-residents for Fintech apps and digital services in Estonia.
- Crypto & Web3 KYC: Automate compliant user identity verification for digital asset platforms operating under Estonian FIU regulations.
- Business Process Automation: Speed up employee and client registrations by instantly capturing verified identity details directly into your CRM.
Live Demo: ID card scanner
No registration required. Upload a file to test the extraction.
Drop files here or click to browse
JPG · PNG · WebP · up to 500 files · max 4.5 MB each
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 credits instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")
def scan_estonia_id():
# Note: Supports JPG, PNG, WebP (Max 4.5MB)
# Target: Estonian Identity Card (ID-kaart)
image_path = "estonia_national_id.jpg"
try:
print(f"Scanning {image_path}...")
# The SDK handles file upload and API communication
# It automatically detects that this is an Estonian 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("✅ Estonia 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')}")
# Critical Field: Isikukood (Personal Code)
print(f"Isikukood: {data.get('personal_number')}")
# Demographics
print(f"DOB: {data.get('date_of_birth')} ({data.get('sex')})")
# MRZ Extraction (Present on the back of Estonian ID-kaart)
additional = data.get('additional_fields', {})
if additional.get('mrz_line_1'):
print("\n🔍 MRZ Data Found:")
print(additional.get('mrz_line_1'))
print(additional.get('mrz_line_2'))
print(additional.get('mrz_line_3') or "")
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_estonia_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)
Key Features
- •Bilingual Layout Support: Reads Estonian special characters and English headings seamlessly.
- •MRZ Extraction: Automatically parses the Machine Readable Zone (MRZ) on the reverse of the card.
- •Isikukood Extraction: Seamlessly extracts and structure-validates the 11-digit Estonian personal identification code.
- •Normalized Date Formats: Standardizes birth, issue, and expiry dates into the clean `YYYY-MM-DD` standard.
- •Smart Crop & Blur Detection: Rejects blurry images and 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": "EST",
"nationality": "ESTONIAN",
"document_number": "AA0000000",
"card_series": "",
"personal_number": "49001010123",
"surname": "TAMM",
"given_names": "MARI-LIIS",
"sex": "F",
"date_of_birth": "1990-01-01",
"place_of_birth": "TALLINN",
"address": null,
"date_of_issue": "2021-05-12",
"date_of_expiry": "2031-05-11",
"issuing_authority": "PPA",
"additional_fields": {
"phone_number": null,
"tramite_number": null,
"ejemplar": null,
"mrz_line_1": "IDESTAA00000004<<<<<<<<<<<<<<<",
"mrz_line_2": "9001011F3105117EST490010101238",
"mrz_line_3": "TAMM<<MARI<LIIS<<<<<<<<<<<<<<<"
}
}
}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 to comply with GDPR and European data protection laws.
How to handle errors?
The SDK result dictionary contains a 'success' boolean and an 'error' code (e.g., FILE_TOO_LARGE) if failed.
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