Warehouse Management Systems: Container OCR API

The Blind Spot at the Loading Dock

The transition between the logistics yard and the warehouse floor is a critical handover point. When containers are backed into loading docks, warehouse receiving teams often rely on manual data entry to match the physical container with the Warehouse Management System (WMS) inbound manifest. Poor lighting transitions—such as harsh sunlight outside contrasting with darker warehouse interiors—cause standard OCR tools to fail. To see how our engine cuts through these extreme dynamic lighting challenges, you can upload a test image to explore our core Container OCR capabilities completely free.

A Universal API Engineered for WMS

Delivered strictly as a lightweight REST API to ensure seamless integration into any proprietary or enterprise WMS (like SAP EWM, Manhattan, or Blue Yonder) without heavy SDK dependencies, this endpoint is powered by our Logistics Container OCR engine. It acts as the perfect data bridge for your inbound operations. The engine applies strict ISO 6346 validation on the fly, instantly calculating check digits to guarantee that only perfectly accurate Container Codes trigger your warehouse receiving workflows.

Warehouse Management Workflows

Integration & AI Prompts

Call the endpoint directly via HTTP from your WMS middleware or dock worker tablets. To maintain maximum security within warehouse networks, the API flexibly accepts direct multipart file uploads or Base64-encoded strings, avoiding the need to expose operations via public URLs.

import requests
import base64

# Prepare Base64 Image from loading dock door camera
with open("wms_dock_door_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 Loading Dock Capture...")
    response = requests.post(url, headers=headers, json=payload)
    result = response.json()

    if result.get('success'):
        data = result['data']
        print("✅ Container Code Extracted!")
        print(f"Full Number:  {data.get('container_number')}")
        print(f"Valid ISO:    {data.get('is_valid')}")
        print(f"Confidence:   {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"
    }
  }
}