Container OCR API for Singapore Terminals

High-Density Automation in Global Transshipment

Singapore handles some of the highest container volumes globally. In such dense, high-speed automated environments like PSA, traditional OCR systems become critical bottlenecks. Multi-lane automated gates and fast-moving AGVs demand rapid recognition without the overhead of heavy local software. Extreme tropical glare and torrential rain add further complexity to visual extraction. For a deeper dive into overcoming these environmental and throughput hurdles, see our core Container OCR capabilities.

StructOCR: API-First Edge Infrastructure

Engineered purely as a high-performance REST API to bypass the integration friction of bulky vendor SDKs, this endpoint is powered by our Logistics Container OCR engine. It features complete rotation invariance—automatically reading upside-down text from overhead automated cranes. The system applies strict ISO 6346 validation algorithms to mathematically verify the check digit, ensuring perfect data fidelity before it enters your TOS.

Core Applications for Singapore Logistics

Integration & AI Prompts

Call the endpoint directly via standard HTTP protocols. The API natively supports raw Base64 strings, direct multipart file uploads, or image URLs, eliminating data transit friction.

import requests
import base64

# Prepare Base64 Image from local transshipment CCTV capture
with open("sg_terminal_agv_cam.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 High-Speed 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"
    }
  }
}