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Alex Boykov
Alex Boykov

Posted on • Updated on


How do I implement liveness detection in Python to prevent fraud


In today's digital world, fraud prevention is a top priority for businesses. One of the ways to prevent fraud is to use liveness detection technology, which can determine if a person is a real human or a computer-generated image.

In this article, I will show you how to implement liveness detection API in Python to prevent fraud in less than 5 minutes.

Sign up for an API key

First, you need to sign up for an API key from a liveness detection service provider. After signing up, you will receive an API key, which you will use to access the liveness detection API.

Install required libraries

To use API, you need to install the Requests library in Python. You can install it using pip, by running the command: "pip install requests"

Call Liveness Detection API

To call the liveness detection API, you need to send a POST request to the API endpoint with the user's photo. The API will analyze the photo and return a response indicating whether the user is alive or not.

Here is a sample Python code to call the Liveness Detection API:

import requests
import json

url = ""

headers = {
    "token": "<YOUR_API_KEY>"

files = {
    "photo": open("<PATH_TO_YOUR_PHOTO>", "rb")

response =, headers=headers, files=files)

if response.ok:
    result = json.loads(response.content)
    if result['result'] == "real":
        print("User is alive.")
        print("User is not alive.")
    print("Error occurred while calling API.")
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Use the Response

Once you receive the response from the API, you can use it to authenticate the user. If the user is alive, you can proceed with the authentication process. If the user is not alive, you can reject the request and prevent fraud.


In just 5 minutes, you have successfully implemented liveness detection in Python using API. With this simple addition to your authentication process, you can prevent fraud and protect your application from spoofing attacks.

This guide is just the beginning, and we encourage you to explore further and find other ways to leverage the power of API.

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