Tutorial
Video Processing
8 min reading

How to Extract Text from a Video (OCR) with JavaScript?

Summarize this article with:

summary
  • Text Detection API in video refers to the process of identifying and extracting text from videos.
  • The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
  • Developers can Extract Text from a Video (OCR) with JavaScript using a REST API that accepts standard inputs and returns structured JSON responses.
  • The integration works with Python, JavaScript, PHP, and any HTTP-capable language with minimal setup.
  • A multi-provider API removes the need to manage separate accounts and authentication per vendor.

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

What is Video Text Detection API?

Text Detection API in video refers to the process of identifying and extracting text from videos. It involves using computer vision and optical character recognition (OCR) techniques to analyze the frames of a video and detect any text present within them.

Video Text Detection API result on Eden AI

Get Started with Video Text Detection API using JavaScript

The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.

Next, you'll need to initialize the File System module in order to access local files on your computer.

Finally, you'll need to create your multipart/formdata parameters form:

How to use Video Text Detection API with JavaScript

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.

2. Let’s Extract Text in your Video File

Now that you have initialized the required JavaScript modules 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 acces the list of Video Text Detection providers available on Eden AI directly on our documentation.

Here is the JavaScript code to add the form data parameters values for your request:

For example, we called two different Video Text Detection engines. Once the parameters values are passed, you can configure your request:

Then, you need to create launchJob() function that will execute POST request:

Finally, you have to create the getJob() function that will execute GET request with the Job ID of your POST request:

You will first get this response:

Once the request is done (status : finished), you will be able to get the result for Text Detection task:

Benefits of using Video Text Detection API with Eden AI

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

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.

Customization

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

FAQ — Extract Text from a Video

You need an API key from your chosen AI provider. Eden AI lets you access multiple providers with a single key, removing the need for separate vendor accounts.
Any language that supports HTTP requests works — Python, JavaScript, PHP, Ruby, Go, and more. Ready-to-use code snippets are available for the most common languages.
Most developers complete a basic integration in under an hour using standardized API endpoints and ready-to-use code examples.
Implement exponential backoff for rate limit errors and use try-catch blocks for network failures. Eden AI's built-in fallback routing automatically redirects requests if a provider is unavailable.
Eden AI supports GDPR-compliant provider filtering and does not store or reuse your data, ensuring compliance with European privacy regulations.

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