Python

This Python example shows how to use the Vaxtor Cloud ALPR API to request a plate analysis that includes Make, Model, and Color (MMC).

Code sample

import requests

TOKEN_URL = "https://auth.vaxtor.cloud/connect/token"
API_URL   = "https://vaxtor.cloud/analysis/api/plate"

CLIENT_ID     = "PUT_YOU_CLIENT_ID_HERE"
CLIENT_SECRET = "PUT_YOU_CLIENT_SECRET_HERE"
SCOPE         = "api"

# Get Token
token_response = requests.post(
    TOKEN_URL,
    data={
        "grant_type":    "client_credentials",
        "client_id":     CLIENT_ID,
        "client_secret": CLIENT_SECRET,
        "scope":         SCOPE,
    }
)
access_token = token_response.json().get("access_token")

if not access_token:
    print("Error getting token")
    exit(1)

# Analyse Image (raw binary upload)
headers = {
    "Authorization": f"Bearer {access_token}",
    "Content-Type": "application/octet-stream"
}

with open("image.jpg", "rb") as image_file:
    response = requests.post(API_URL, headers=headers, data=image_file)

# Show Result
print(response.json())

Code Overview

1. Authentication

The script retrieves a bearer token via OAuth2 Client Credentials at https://auth.vaxtor.cloud/connect/token.

Export your client-id and client-secret before running the script:

export VAXTOR_CLIENT_ID="your-client-id"
export VAXTOR_CLIENT_SECRET="your-client-secret"

2. API Request

Sends the image as a raw binary body (application/octet-stream) to the ALPR endpoint https://vaxtor.cloud/analysis/api/plate with the Authorization: Bearer <token> header.