Container OCR API for European Terminals

The Reality of Terminal Gate OCR in Europe

European ports lead the world in automation, utilizing Automated Guided Vehicles (AGVs) and dense stacking yards. Capturing container codes in these environments presents unique challenges: high-speed continuous movement, complex top-down crane angles, and frequent rain, fog, or snow that obscures standard optical scanners. Maintaining ultra-high throughput requires an engine that ignores environmental noise. For a deeper dive into overcoming these specific environmental hurdles, see our core Container OCR capabilities.

StructOCR: Built for High-Density Automated Ports

Engineered strictly as a high-performance REST API to ensure seamless integration into European Terminal Operating Systems (TOS) without heavy SDK dependencies, this endpoint is powered by our Logistics Container OCR engine. It features complete rotation invariance—automatically reading upside-down text from ARMG cranes without pre-processing. The engine applies strict ISO 6346 validation to verify the owner code and calculate the check digit, guaranteeing absolute data integrity.

Core Applications for the European Market

Integration & AI Prompts

Call the endpoint directly via HTTP. The API flexibly accepts standard image URLs, direct multipart file uploads, or Base64-encoded strings to minimize network latency on edge networks.

import requests
import base64

# Prepare Base64 Image from local CCTV capture
with open("ccr_rotterdam_gate3.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')}")
        print(f"Valid ISO:    {data.get('is_valid')}")
        print(f"Confidence:   {result['data'].get('confidence')}")
    else:
        print(f"❌ Extraction Failed: {result.get('error')} - {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"
    }
  }
}