How to Extract Text from Video with Python?

How to Extract Text from Video with Python?

In this tutorial, you will learn how to use Video Text Detection API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to extract text in videos.

What is Video Text Detection API?

Video Text Detection refers to the process of automatically identifying and extracting text content from videos. It involves analyzing the frames of a video and detecting any text present within those frames using Computer Vision and Optical Character Recognition (OCR) techniques.

Video Text Detection API result on Eden AI

Get Started with Video Text Detection API

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

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

How to use Video Text Detection API with Python

You are now ready to process your video file into Eden AI Video Text Detection API.

1. Get a Text Detection API Key on Eden AI

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

Eden AI platform - Get your API key

2. Let’s Extract Text in your Video File

Now that you have imported packages on Python and get your API key, you will be able to extract text in videos. With Eden AI, you can choose which engine you want to use for the Video Text Detection. You can access the list of Video Text Detection providers available on Eden AI directly on our documentation.

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

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

Eden AI Video Text Detection API is an asynchronous API. It means that you will get in response an ID:

Then you will need to perform a GET request to check the status of the API request (success, processing, failed):

You will first get this response:

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

Here is an example of a result for Video Text Detection task:

Benefits of using Video Text Detection API with Eden AI

Using Video Text Detection API with Eden AI API is quick and easy.

Multiple AIs in one API - Eden AI
Multiple AIs in one API - Eden AI

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 Text Detection request with specific parameters, check out our documentation.

Related Posts

Try Eden AI for free.

You can directly start building now. If you have any questions, feel free to schedule a call with us!

Get startedContact sales