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

Challenges with South Korean Passport Verification
Extracting accurate information from South Korean passports presents specific challenges. The latest generation of blue biometric passports features highly secure polycarbonate data pages, complex laser engravings, and intricate background artwork incorporating traditional Taegeuk motifs. Furthermore, handling bilingual field descriptors (Korean Hangul and English) requires precise parsing logic. These advanced security elements can significantly hinder manual data entry and traditional OCR methods, making a specialized passport extraction api essential for reliable processing.
Why StructOCR for South Korean Passports
StructOCR offers unparalleled accuracy for South Korean passport data extraction, thanks to our advanced machine learning models trained on extensive datasets covering both Korean Hangul and English scripts. Our solution is specifically engineered to overcome the common obstacles found in these highly secure travel documents. Whether you need a powerful passport extraction api or a comprehensive fintech identity verification software, StructOCR delivers robust performance. 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 serves as a critical verification solution for travel, enabling seamless integration with automated SmartPass border control gates and streamlined check-in processes for South Korean citizens. This speeds up passenger throughput at major hubs like Incheon International Airport (ICN).
- Financial Services: By integrating our sophisticated fintech identity verification software, financial institutions can automate their KYC onboarding workflows with confidence, ensuring compliance with strict South Korean Financial Services Commission (FSC) and Anti-Money Laundering (AML) regulations. This reduces manual review times and mitigates fraud risk.
Live Demo: Passport scanner
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Drop files here or click to browse
JPG · PNG · WebP · up to 500 files · max 4.5 MB each
South Korea 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_south_korea_passport():
image_path = "south_korea_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_south_korea_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
- •Bilingual & Script Support: Reliably parses descriptors and names across English and Korean (Hangul) texts.
- •Visual Extraction (VIZ): Reliably extracts data directly from the visual inspection zone, bypassing intricate traditional security backgrounds.
- •Glare Reduction: Automatically corrects lighting issues and reflections common on modern polycarbonate pages.
- •MRZ Parsing: Validates and cross-references data with the Machine Readable Zone.
JSON Response Example
The Python SDK returns a dictionary matching this normalized JSON structure.
{
"success": true,
"data": {
"type": "passport",
"country_code": "KOR",
"nationality": "KOR",
"passport_number": "M12345678",
"surname": "HONG",
"given_names": "GILDONG",
"sex": "M",
"date_of_birth": "1990-08-15",
"date_of_issue": "2022-03-01",
"date_of_expiry": "2032-03-01",
"issuing_authority": "MINISTRY OF FOREIGN AFFAIRS"
}
}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 green formats and the latest generation of blue South Korean e-passports, ensuring broad compatibility.
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