Empty Depot Management: Container OCR API

The Visibility Gap in Empty Depots

Empty container depots are high-turnover environments where speed and stack accuracy are critical. When empty handlers move containers for storage, washing, or repair, tracking their exact block and tier relies heavily on manual spotters. These units are often highly weathered, covered in rust, or stacked in dense blocks with deep shadows, causing standard OCR to fail. This results in misplaced containers and severely slows down dispatch. To see how our engine cuts through these extreme visual challenges, you can upload a test image to explore our core Container OCR capabilities completely free.

A Cloudflare-Powered API for the Yard

Delivered strictly as a high-performance REST API to ensure seamless integration into any Depot Management System (DMS) without heavy SDK dependencies, this endpoint is powered by our Logistics Container OCR engine. It provides instant verification across the depot. The engine applies strict ISO 6346 validation on the fly, instantly calculating check digits to guarantee that only perfectly accurate Container Codes update your digital inventory map.

Empty Depot Operations

Integration & AI Prompts

Call the endpoint directly via HTTP from your depot management software or mobile yard tablets. To maintain maximum security, the API flexibly accepts direct multipart file uploads or Base64-encoded strings, avoiding the need to expose local depot camera feeds to public URLs.

import requests
import base64

# Prepare Base64 Image from an empty depot gate camera
with open("depot_gate_capture.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 Depot 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"
    }
  }
}