Tajikistan Passport OCR with the StructOCR Python SDK
Install the official Python SDK, extract validated Tajikistan passport fields, and add the same workflow to a FastAPI service.

Challenges with Tajikistan Passport Verification
Tajikistan passports, like many modern travel documents, present unique challenges for automated data extraction. The laminated surfaces can cause glare, obscuring critical information. Furthermore, complex security backgrounds and intricate font styles demand sophisticated algorithms to ensure accuracy. Our advanced passport extraction api is specifically engineered to overcome these hurdles.
Why StructOCR for Tajikistan Passports
StructOCR offers unparalleled accuracy for Tajikistan passport data extraction. Our cutting-edge AI models are trained on diverse datasets, ensuring high performance even with challenging document conditions. Leverage our passport extraction api to seamlessly integrate powerful OCR capabilities into your workflows. This makes it an essential component for any fintech identity verification software or a comprehensive verification solution for travel. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.
Built for High-Compliance Industries
- Travel & Aviation: Our technology provides a seamless verification solution for travel, significantly speeding up check-in and boarding processes for Tajik citizens. This enhanced efficiency translates to improved passenger experiences and reduced operational overhead.
- Financial Services: By implementing our fintech identity verification software, institutions can automate KYC onboarding, ensuring compliance and reducing manual review times. This robust solution helps protect against fraud and streamlines customer acquisition.
Live Demo: Passport scanner
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JPG · PNG · WebP · up to 500 files · max 4.5 MB each
Tajikistan Passport OCR with the Python SDK
The official Python SDK handles file encoding, API communication, and structured passport results. Use the SDK directly or open the FastAPI tab for a server endpoint. Keep your API key in STRUCTOCR_API_KEY.
Prerequisite: `pip install structocr`; set the server-side `STRUCTOCR_API_KEY` environment variable.
Prefer another stack? Open the Node.js SDK + Express integration.
import os
from structocr import StructOCR
# Initialize StructOCR Client
client = StructOCR(os.environ["STRUCTOCR_API_KEY"])
def scan_tajikistan_passport():
image_path = "tajikistan_passport_sample.jpg"
try:
print(f"Scanning {image_path}...")
result = client.scan_passport(image_path)
if result.get('success'):
data = result['data']
print("✅ Passport Extraction Successful!")
print(f"Passport #: {data.get('passport_number')}")
print(f"Name: {data.get('given_names')} {data.get('surname')}")
print(f"Nationality: {data.get('nationality')}")
print(f"DOB: {data.get('date_of_birth')}")
else:
print(f"❌ Extraction Failed: {result.get('error')}")
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
scan_tajikistan_passport()Technical Specs
- •Latency: < 4s (Average)
- •Uptime: 99.9% SLA
- •Security: AES-256 Encryption & SOC2 Compliant
- •Input: JPG, PNG, WebP, PDF (Max 4.5MB)
- •Output: JSON (Structured Data)
Key Features
- •Document Localization: Auto-detects passport boundaries and cropping.
- •Visual Extraction (VIZ): Reliably extracts data directly from the visual inspection zone.
- •Glare Reduction: Automatically corrects lighting issues and reflections.
- •Multilingual Support: Reads both English and local native scripts.
JSON Response Example
The Python SDK returns a dictionary matching this normalized JSON structure.
{
"success": true,
"data": {
"type": "passport",
"country_code": "TJK",
"nationality": "TJK",
"passport_number": "401234567",
"surname": "SHARIPOV",
"given_names": "RUSTAM",
"sex": "M",
"date_of_birth": "1991-05-22",
"place_of_birth": "DUSHANBE",
"date_of_issue": "2020-01-01",
"date_of_expiry": "2031-05-21",
"issuing_authority": "MIA"
}
}Frequently Asked Questions
Is there an official SDK for Node.js?
Yes. StructOCR publishes official Python and Node.js SDKs. Installation links and source documentation are available in the Developer SDK section. Other languages can use the REST API.
Does it work with older passport formats?
Yes, our ocr passport sdk is trained to handle both legacy and modern passport layouts globally.
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