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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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

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

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You will first get this response:

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

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

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Benefits of using Video Text Detection API with Eden AI

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

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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.

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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.

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

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Frequently Asked Questions (FAQ)

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What do I need to Extract Text from Video with Python??

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.

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Which programming languages can I use?

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.

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How long does the integration take?

Most developers complete a basic integration in under an hour using standardized API endpoints and ready-to-use code examples.

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How do I handle errors and rate limits?

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.

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Is the data I send secure and GDPR-compliant?

Check each provider's data processing agreement. Eden AI supports GDPR-compliant provider filtering and does not store or reuse your data.