Uganda National ID Card OCR Python SDK
Instantly extract data and MRZ from Ugandan IDs using our native Python library.

Parsing National ID Card Challenges
Uganda National ID Cards often present OCR challenges due to variations in print quality, especially on older cards. The layout can also differ slightly depending on the issuing branch, requiring a robust model to handle these inconsistencies. Additionally, while the primary language is English, some localized terms or abbreviations can appear.
Why StructOCR for Uganda
Our OCR model is specifically trained on a large dataset of Ugandan National ID Cards, enabling accurate id card parsing despite common challenges. It also fully supports parsing the Machine Readable Zone (MRZ) on the reverse side for strict identity verification. Our Python SDK simplifies integration, allowing seamless incorporation of our OCR capabilities into existing applications with minimal code. It handles image preprocessing, API calls, and data parsing, facilitating kyc automation and saving valuable development time.
Common Use Cases in Uganda
- Digital Onboarding: Verify users for Fintech apps in Uganda.
- Telecom Registration: Automate SIM card registration with National ID Card.
- Hotel Check-in: Speed up guest registration workflows.
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
# 🔑 Need a key for Uganda? Get 200 free credits instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")
def scan_uganda_id():
# Note: Supports JPG, PNG, WebP (Max 4.5MB)
# Target: National ID Card
image_path = "uganda_national_id.jpg"
try:
print(f"Scanning {image_path}...")
# The SDK handles file upload and API communication
# It automatically detects that this is a Ugandan 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("✅ Uganda 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')}")
# Machine Readable Zone (MRZ)
additional = data.get('additional_fields', {})
if additional.get('mrz_line_1'):
print("\n--- MRZ Data ---")
print(additional.get('mrz_line_1'))
print(additional.get('mrz_line_2'))
if additional.get('mrz_line_3'):
print(additional.get('mrz_line_3'))
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_uganda_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
- •Native Script Support: Reads English and local characters.
- •MRZ Parsing: Accurately extracts and validates the Machine Readable Zone lines for cross-checking.
- •Blur Detection: Automatically rejects blurry images.
- •Fraud Check: Validates National ID Card 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": "UGA",
"nationality": "UGANDAN",
"document_number": "012345678",
"card_series": "",
"personal_number": "CM90010101234A",
"surname": "MUKASA",
"given_names": "DAVID",
"sex": "M",
"date_of_birth": "1990-05-15",
"place_of_birth": "KAMPALA",
"address": "KAMPALA CENTRAL, KAMPALA",
"date_of_issue": "2020-01-01",
"date_of_expiry": "2030-01-01",
"issuing_authority": "NIRA",
"additional_fields": {
"phone_number": null,
"tramite_number": null,
"ejemplar": null,
"mrz_line_1": "IDUGA0123456784<<<<<<<<<<<<<<<",
"mrz_line_2": "9005156M3001014UGA<<<<<<<<<<<4",
"mrz_line_3": "MUKASA<<DAVID<<<<<<<<<<<<<<<<<"
}
}
}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.
You May Also Like
Related tutorials, platform guides, and comparisons
Python National ID OCR API
High-accuracy National ID OCR for Python. Upload an image for a free test! Get structured JSON output via our dedicated Python SDK. Automate KYC and data entry with 99%+ accuracy.
Tunisia CIN (Carte d'Identité Nationale) OCR Python SDK
Python Tutorial: Automate KYC in Tunisia. Extract data from CIN (Carte d'Identité Nationale) using StructOCR Python SDK. Supports native text.
Saudi Arabia National ID & Iqama OCR Python SDK
Python Tutorial: Automate KYC in Saudi Arabia. Extract data from National IDs and Iqamas using the StructOCR Python SDK. Supports bilingual (Arabic/English) text, 10-digit ID numbers, and 3-line MRZ extraction.
Bangladesh Smart NID OCR Python SDK
Python Tutorial: Automate KYC in Bangladesh. Extract complex Bengali text and decode 2D barcodes from Smart NIDs using StructOCR Python SDK.
Ukraine National ID OCR Python SDK
Python Tutorial: Automate KYC in Ukraine. Extract data from National ID using StructOCR Python SDK. Supports native text and MRZ extraction.
Kenya National ID (Maisha Card) OCR Python SDK
Python Tutorial: Automate KYC in Kenya. Extract data, Maisha Namba (UPI), and validate TD1 MRZ from National ID (Maisha Card) using StructOCR Python SDK.
Côte d'Ivoire CNI (Carte Nationale d'Identité) OCR Python SDK
Python Tutorial: Automate KYC in Côte d'Ivoire. Extract French text, NNI, and validate TD1 MRZ from the ONECI CNI using StructOCR Python SDK.
Malaysia MyKad OCR with Node.js SDK
Extract identity number, names, dates and other visible fields from MyKad with the StructOCR Node.js SDK and Express.
India Aadhaar OCR with Node.js SDK
Extract Aadhaar number, names, dates and other visible fields from Aadhaar card with the StructOCR Node.js SDK and Express.
Indonesia KTP OCR with Node.js SDK
Extract NIK, names, dates and other visible fields from Kartu Tanda Penduduk (KTP) with the StructOCR Node.js SDK and Express.
Technical Comparisons & Integrations
Explore platform integrations and competitive analysis
Add National ID OCR to Your Bolt.new App in 5 Minutes
Step-by-step guide to integrating the StructOCR National ID scanner API into a Bolt.new app. Build KYC and identity verification flows right in your browser.
Add National ID OCR using Cursor in 5 Minutes
Step-by-step guide to integrating the StructOCR National ID scanner API using the Cursor AI code editor. Build KYC and identity verification flows rapidly.
Add National ID OCR to Your Lovable.dev App in 5 Minutes
Step-by-step guide to integrating the StructOCR National ID scanner API into a Lovable.dev app. Build KYC and identity verification flows with zero backend.
Add National ID OCR to Your Replit App in 5 Minutes
Step-by-step guide to integrating the StructOCR National ID scanner API into a Replit application. Build KYC and identity verification flows using Replit Agent and Secrets.
Add National ID OCR to Your v0 App in 5 Minutes
Step-by-step guide to integrating the StructOCR National ID scanner API into a v0 by Vercel app. Build KYC and identity verification flows with zero backend.
Add Passport OCR to Your Lovable.dev App in 5 Minutes
Step-by-step guide to integrating the StructOCR Passport scanner API into a Lovable.dev app through a secure server-side function for travel and KYC flows.
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.