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.
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
# Get 200 free credits:
# 👉 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)
- •Availability: Served from Cloudflare's global edge network
- •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?
Only briefly. Uploaded images and results are kept for at most 24 hours for quality spot-checks, then deleted, which helps 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.
You May Also Like
Related tutorials, platform guides, and comparisons
Ghana Ghana Card OCR Python SDK
Python Tutorial: Automate KYC in Ghana. Extract data, Personal ID Number, and validate TD1 MRZ from Ghana Card using StructOCR Python SDK.
Sri Lankan Passport OCR with Python SDK
Use the StructOCR Python SDK and FastAPI to extract visible identity, validity and MRZ fields from Sri Lankan passports.
Greece Deltio Taftotitas OCR Python SDK
Python Tutorial: Automate KYC in Greece. Extract dual-script data from Deltio Taftotitas and validate TD1 MRZ using StructOCR Python SDK.
Poland Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Poland passports with a server-side integration.
Portugal Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Portugal passports with a server-side integration.
France Carte Nationale d'Identité OCR Python SDK
Python Tutorial: Automate KYC in France. Extract data from Carte Nationale d'Identité and validate TD1/TD2 MRZ using StructOCR Python SDK. Supports native text.
Saudi Arabia Passport OCR with Python SDK
Use the official StructOCR Python SDK and FastAPI to extract structured MRZ and VIZ data from Saudi Arabia passports with a server-side integration.
Ethiopia Fayda ID OCR Python SDK
Python Tutorial: Automate KYC in Ethiopia. Extract data from Fayda ID using StructOCR Python SDK. Supports native text.
Germany Personalausweis OCR Python SDK
Python Tutorial: Automate KYC in Germany. Extract data from Personalausweis and validate TD1 MRZ using StructOCR Python SDK. Supports native German text.
Czech Republic Občanský průkaz OCR Python SDK
Python Tutorial: Automate KYC in the Czech Republic. Extract Czech text with diacritics, Rodné číslo, and validate TD1 MRZ from Občanský průkaz.
Technical Comparisons & Integrations
Explore platform integrations and competitive analysis
Add Receipt OCR to Your Lovable.dev App in 5 Minutes
Step-by-step guide to integrating the StructOCR receipt API into a Lovable.dev app. No backend required — just paste a prompt and add your API key.
Add VIN OCR to Your Lovable.dev App in 5 Minutes
Step-by-step guide to integrating the StructOCR VIN scanner API into a Lovable.dev app. Build automotive and fleet tools with zero backend required.
Manual TOS Entry vs. Container OCR Automation API
Analyzing the ROI and operational efficiency of replacing manual gate checkers with an automated Container OCR API in logistics yards.
OpenALPR vs. StructOCR API for VIN Decoding
Why traditional License Plate Recognition (ALPR) engines are not suitable for scanning Vehicle Identification Numbers (VINs).
Add Container OCR to Your Replit App in 5 Minutes
Step-by-step guide to integrating the StructOCR shipping container API into a Replit application. Build logistics and yard management tools using Replit Agent and Secrets.
Add Driver's License OCR to Your Replit App in 5 Minutes
Step-by-step guide to integrating the StructOCR Driver's License scanner API into a Replit application. Build car rental and mobility onboarding flows using Replit Agent and Secrets.
From tutorial to production in 5 minutes.
You've seen the code. Now get your API key, grab your 200 free credits, and see it work with your own images. No credit card required.