Vietnam CCCD OCR Python SDK
Instantly extract data from Vietnamese Identity Cards (CCCD) using our native Python library.

Parsing Căn cước công dân (CCCD) Challenges
The Vietnamese Identity Card (Căn cước công dân), especially the newer chip-based format, poses unique OCR challenges. Accurately extracting the 12-digit personal identification number, handling complex Vietnamese diacritics (accents and tones), parsing multi-line addresses (quê quán, nơi thường trú), and scanning the 3-line MRZ on the reverse side require highly specialized computer vision models.
Why StructOCR for Vietnam
StructOCR's model is specifically trained on a large dataset of Vietnamese 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 12-digit ID mapped to the personal number field, and automate your verification workflows.
Common Use Cases in Vietnam
- E-Wallet & Fintech Onboarding: Verify users for digital wallets, microlending apps, and payment gateways in Vietnam.
- Telecom SIM Registration: Automate document parsing for mobile network operators complying with strict local SIM registration laws.
- Banking Account Opening: Speed up eKYC processes for digital banks by instantly capturing and validating CCCD details.
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_vietnam_id():
# Note: Supports JPG, PNG, WebP (Max 4.5MB)
# Target: Căn cước công dân (CCCD)
image_path = "vietnam_national_id.jpg"
try:
print(f"Scanning {image_path}...")
# The SDK handles file upload and API communication
# It automatically detects that this is a Vietnamese 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("✅ Vietnam Extraction Successful!")
# Basic Identity
print(f"Region: {data.get('country_code')}")
print(f"Name: {data.get('surname')} {data.get('given_names')}")
# Critical Field: 12-digit ID Number
print(f"CCCD Number: {data.get('personal_number')}")
# Demographics
print(f"DOB: {data.get('date_of_birth')} ({data.get('sex')})")
print(f"Address: {data.get('address')}")
# MRZ Extraction (Present on the back of chip-based CCCD)
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_vietnam_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
- •Vietnamese Diacritics Support: Reads complex Vietnamese tones and accents seamlessly.
- •MRZ Extraction: Automatically parses the 3-line Machine Readable Zone (MRZ) on the reverse of the electronic CCCD.
- •12-digit ID Extraction: Automatically extracts and validates the 12-digit personal identification number layout.
- •Multi-line Address Support: Capable of reconstructing complex multi-line residential and origin addresses common on Vietnamese cards.
- •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": "VNM",
"nationality": "VIỆT NAM",
"document_number": "079090123456",
"card_series": "",
"personal_number": "079090123456",
"surname": "NGUYỄN",
"given_names": "VĂN A",
"sex": "M",
"date_of_birth": "1990-01-01",
"place_of_birth": "Quận 1, TP Hồ Chí Minh",
"address": "Phường Bến Nghé, Quận 1, TP Hồ Chí Minh",
"date_of_issue": "2021-05-15",
"date_of_expiry": "2030-01-01",
"issuing_authority": "CỤC TRƯỞNG CỤC CẢNH SÁT QUẢN LÝ HÀNH CHÍNH VỀ TRẬT TỰ XÃ HỘI",
"additional_fields": {
"phone_number": null,
"tramite_number": null,
"ejemplar": null,
"mrz_line_1": "IDVNM079090123456<<<<<<<<<<<<<",
"mrz_line_2": "9001014M3001018VNM<<<<<<<<<<<4",
"mrz_line_3": "NGUYEN<<VAN<A<<<<<<<<<<<<<<<<<"
}
}
}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 data protection regulations.
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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