So, to analyze the audio data, we need to have our audio files hosted on the same server as our webpage.įor this tutorial, I’m using Vite, a simple and straightforward dev server to set up, but feel free to use any other server of your choice. The reason we need a server is to bypass the CORS problem.ĬORS prevents accessing resources from outside of its domain. That’s enough theory for now - let’s get into some code! Setting up the projectĮven though we’ll be using vanilla JavaScript, we still need to set up a server to follow along. We’ll use these data points to draw our dynamic bar charts. When we want to play back audio, the computer reverses the process: it recreates the sound from those recorded data points. Once the computer has these data points, also called samples, it can store them in files. Sampling is done by measuring the sound waves hitting a microphone as data points. In order to turn sound into data that they can store, computers do something called sampling. Let’s start with a basic explanation of how digital audio works.Ĭomputers don’t understand sound the way we do in the physical world. Calculating the visualizer’s bar dimensions.Initializing the canvas and audio resources.In this article, we’ll go through how to create an audio visualizer from the ground up using only vanilla JavaScript and the inbuilt browser Canvas and Web Audio APIs.īy the end of this post, you’ll have a solid understanding of how to create your own audio visualizers and be able to experiment with different ways of visualizing audio data. It’s no secret that audio visualizers are a fantastic way to spice up your music listening experience. Write an audio visualizer from scratch with vanilla JavaScript When I have time, I enjoy working on SaaS products and writing programming articles at. ![]() Iskander Samatov Follow I’m a technical lead at HubSpot based in Dallas-Fort Worth Metropolitan Area.
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