Container OCR API for UK Logistics

The Reality of UK Port and Customs Automation

UK ports and logistics parks face a dual challenge: navigating post-Brexit border friction that demands hyper-accurate data logging, and battling unpredictable British weather. Capturing container codes frequently fails when optical scanners are obscured by heavy rain, fog, and low-contrast lighting. Furthermore, complying with strict local data standards means relying on complex, outdated on-premise hardware rather than agile cloud systems. For a deeper dive into overcoming these specific environmental hurdles, see our core Container OCR capabilities.

StructOCR: Agile Infrastructure for Modern UK Trade

Engineered strictly as a high-performance REST API to ensure seamless integration into UK Customs and logistics platforms without heavy SDK dependencies, this endpoint is powered by our resilient Logistics Container OCR engine. It features complete rotation invariance—automatically reading upside-down text. The engine applies strict ISO 6346 validation to mathematically verify the owner code and check digit, guaranteeing absolute data integrity for compliance records.

Core Applications for the UK Market

Integration & AI Prompts

Call the endpoint directly via HTTP. The API securely handles raw Base64 strings and direct multipart file uploads, ensuring sensitive logistics imagery doesn't require public URL hosting.

import requests
import base64

# Prepare Base64 Image from local UK port CCTV capture
with open("uk_customs_lane1.jpg", "rb") as image_file:
    base64_image = base64.b64encode(image_file.read()).decode('utf-8')

url = "https://api.structocr.com/v1/container"
headers = {
    "x-api-key": "YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "img": base64_image
}

try:
    print("Scanning Gate Capture...")
    response = requests.post(url, headers=headers, json=payload)
    result = response.json()

    if result.get('success'):
        data = result['data']['parsed']
        print("✅ Container Code Extracted!")
        print(f"Full Number:  {data.get('owner_code')}{data.get('category')}{data.get('serial_number')}-{data.get('check_digit')}")
    else:
        print(f"❌ Extraction Failed: {result.get('message')}")
except Exception as e:
    print(f"An error occurred: {e}")

{
  "success": true,
  "data": {
    "container_number": "ZCSU8921655",
    "is_valid": true,
    "confidence": "High",
    "parsed": {
      "owner_code": "ZCS",
      "category": "U",
      "serial_number": "892165",
      "check_digit": "5"
    }
  }
}