How to Detect a Face in an Image with Python?

How to Detect a Face in an Image with Python?

In this tutorial, you will learn how to use Face Detection API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to detect faces in images.

What is Face Detection API?

Face Detection API uses advanced computer vision algorithms to accurately identify and locate human faces in digital images. By recognizing and analyzing key facial features such as the eyes, nose, mouth, and contours, this API can provide detailed results that include emotional expression and other characteristics.

Face Detection API result on Eden AI

The API can also determine the position, size, and orientation of each face it detects, allowing developers to build applications that can automatically recognize and track people in photos or videos. Face Detection APIs are commonly used in a variety of applications, such as security systems, social media platforms, and marketing analytics.

Getting Started with Face Detection API using Python

The first step is to install Python's requests package, that will allow you to call Eden AI API.

Next, you'll need to install Python's JSON package in order to read and print the result of the API request.

How to use Face Detection API with Python

You are now ready to process your image into Eden AI Face Detection API.

1. Get a Face Detection API Key on Eden AI

To perform Face Detection, you just need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.

2. Let’s Detect Faces in your images

Now that you have imported packages on Python and got your API key, you will be able to detect faces in images. With Eden AI, you can choose from a wide range of engines you want for Face Detection. You can access the list of Face Detection providers available on Eden AI directly on our documentation.

Here is the Python script you need to write in your notebook:

For example, we called two different Face Detection engines. Eden AI API will then return in its JSON response results of those providers.

Once the request is done, you will be able to get the result with this print:

Here is an example of a Face Detection API response:

Benefits of using Face Detection API with Eden AI

Using Face Detection with Eden AI API is quick and easy.

Multiple AI engines in one API

Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.

Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.


With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Face Detection request with specific parameters, check out our documentation.

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