Tutorial
Video Processing
8 min reading

How to do Video Question Answering using JavaScript

Summarize this article with:

summary
  • By the end, you'll be able to connect natural language queries to visual data, enabling your projects to provide intelligent, context-aware responses from video content.
  • Unlike static image-based question answering, Video QA requires analyzing dynamic content over time, enabling it to handle tasks such as summarizing scenes, recognizing actions, and tracking changes...
  • Eden AI provides a platform where you can test different AI models before integrating them, allowing you to evaluate and select the provider that best aligns with your needs.
  • answer : This field contains the answer to your question based on the video content.
  • Connect to top-tier providers such as Google, IBM, and Amazon via a single, unified API.

In this guide, we’ll walk you through creating a video question answering system using JavaScript.

You'll learn how to analyze video content, answer questions related to specific events or actions, and enhance your AI applications with multimodal capabilities.

By the end, you'll be able to connect natural language queries to visual data, enabling your projects to provide intelligent, context-aware responses from video content.

What is Video Question Answering?

Video Question Answering is the process of answering questions in natural language based on the content of a video.

It integrates computer vision and natural language processing to interpret both the visual elements and the sequence of events in the video.

Unlike static image-based question answering, Video QA requires analyzing dynamic content over time, enabling it to handle tasks such as summarizing scenes, recognizing actions, and tracking changes throughout the video.

Implementing Video Question Answering in JavaScript

Get Access to Eden AI API

1. Sign up: Visit Eden AI and create a free account to get started. After registering, go to the API section to retrieve your unique API key, which will grant you access to a variety of AI services, including Video Question Answering.

2. Navigate to Video Technologies – Log in and head to the Video Technologies section.

3. Select Video Question Answering– From there, select the Video Question Answering option, or dive into more advanced features based on your requirements.

Live Test Models on Eden AI

Eden AI provides a platform where you can test different AI models before integrating them, allowing you to evaluate and select the provider that best aligns with your needs.

Install JavaScript's Axios Module

To make HTTP requests from your JavaScript application, we will use Axios, a promise-based HTTP client for the browser and Node.js. To install Axios, run the following command:



npm install axios

Prepare the Code

Here’s how to call Eden AI’s Video QA API in JavaScript:



const axios = require("axios").default;

const options = {
method: "POST",
url: "https://api.edenai.run/v2/video/question_answer",
headers: {
Authorization: "Bearer YOUR_API_KEY", // Replace with your actual API Key
},
data: {
providers: "google", // Eden AI supports multiple providers
file_url: "https://your-video-url.com/video.mp4", // Replace with your video URL
text: "Describe this video?", // Your natural language question
},
};

axios
.request(options)
.then((response) => {
console.log(response.data);
})
.catch((error) => {
console.error(error);
});

Explanation of Code Sections

  • Authorization Header: This is where your unique API token goes.
  • Providers: You can specify "google" or test other providers like "amazon", "microsoft", etc.
  • file_url: The link to the video you want analyzed.
  • text: The question you want to ask about the video content.

Interpreting the Results

When the API successfully processes the video and answers your question, the response will be in JSON format. Here’s an example of what the response might look like:



{
"google": {
"answer": "The video shows a man walking through a park during sunset.",
"status": "success"
}
}

  • answer: This field contains the answer to your question based on the video content. In this case, it describes an action (a man walking through a park during sunset).
  • status: This indicates the success or failure of the request. If the request was successful, the status will be "success".

Why Eden AI Is the Best Tool for Video Question Answering

Diverse Provider Access

Connect to top-tier providers such as Google, IBM, and Amazon via a single, unified API. This approach streamlines the process of integrating cutting-edge language processing capabilities into your applications.

Seamless Integration

Eden AI boasts a user-friendly API design, ensuring fast and easy implementation. You can effortlessly enhance your system with powerful AI features and minimal configuration.

Effortless Scalability

Whether you're developing a small proof of concept or a large-scale solution, Eden AI adapts to your needs, growing with your project seamlessly.

Flexible Pricing Options

Start with free credits and choose from flexible pay-as-you-go plans that align with your usage. Eden AI’s pricing model is tailored to be budget-friendly and scalable as your needs expand.

Conclusion

In this guide, you learned how to integrate Video Question Answering into your JavaScript project using Eden AI’s API. We covered how to obtain an API key, install Axios, write the code, and interpret the results.

With Eden AI, you can easily enhance your JavaScript applications with powerful AI capabilities, like Video QA, without the complexity of building and training your own models.

Whether you are developing an application for video analysis, customer support, or content summarization, Eden AI provides the tools you need to quickly get started and scale as your needs grow.

FAQ — do Video Question Answering using JavaScript

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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