Package Exports
- video-stream-ascii
- video-stream-ascii/dist/components/VideoAscii.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (video-stream-ascii) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
video-stream-ascii
Description
This is a simple web package that converts a video stream into ASCII art.
🚀🚀🚀 The package is published on npm 🚀🚀
It works on desktop and mobile as well, there is two demos, one for the camera and one for a video file. You can check them at those links:
🚀🚀 You can try it out 🚀🚀
🚀🚀 You can try it out 🚀🚀
The example is using the webcam of your device, but you can use any video stream, like a video file or a video stream.
Screenshots

Install packages
You can install it by typing the following command in your terminal:
npm install video-stream-ascii
or
yarn add video-stream-ascii
Usage
To use the package, you need to import it into your project:
import {VideoStreamAscii} from "video-stream-ascii";
Then you can create use the Component:
<VideoAscii
videoStreaming={videoRef.current!.video!}
parentRef={parentRef}
useColor={true}
charsPerLine={charsPerLine}
charsPerColumn={charsPerColumn}
fontColor={'white'}
backgroundColor={'black'}
/>
You can also pass a pre tag reference to the component, so it can be used to get the ASCII text:
<VideoAscii
videoStreaming={videoRef.current!.video!}
parentRef={parentRef}
useColor={true}
charsPerLine={charsPerLine}
charsPerColumn={charsPerColumn}
fontColor={'white'}
backgroundColor={'black'}
preTagRef={preTagRef}
/>
To use the component, you need to pass the following props:
videoStreaming
- The video stream from the camera.parentRef
- The reference of the parent element, to fit the ascii art in it.useColor
- If the ascii art should use color or not.charsPerLine
- The number of characters per line.charsPerColumn
- The number of characters per column.fontColor
- The color of the font.backgroundColor
- The color of the background.preTagRef
- The reference of the pre tag, to get the ascii art text.
The parentRef
is used to fit the ascii art in the parent element, so you need to pass the reference of the parent
element like a div
, you can check the example to see how to use it.
Warning
Be careful when using this package, the camera must be working before enabling the video stream. If you want to set the ascii art with a correct aspect ratio, follow the example below, for an example of how to use it.
An example in the GitHub repository is available, showing how to use the camera stream to convert it into a real-time ASCII video here: video-stream-ascii-example.
You can test the example at this link: video-stream-ascii-example. It will create a video ascii from you camera and output it in real time full screen with auto aspect ratio and a copy to clipboard button. You can also find it below:
Click to expand
import React, {useEffect, useRef, useState} from 'react';
import VideoAscii from './VideoAscii';
import Webcam from 'react-webcam';
import './CameraAsciiPanel.css';
const CameraAsciiPanel = () => {
// Define the ascii art chars per line
const charsPerLine = 200;
const [charsPerColumn, setCharsPerColumn] = useState(0);
const preTagRef = useRef < HTMLPreElement > (null);
// Define the hook state for the webcam
const [isCameraReady, setIsCameraReady] = useState(false);
// Define the refs
const videoRef = useRef < Webcam > (null);
const parentRef = useRef < HTMLDivElement > (null);
// Calculate the chars per column according to the aspect ratio of the video
const calculateCharsPerColumn = (video: HTMLVideoElement) => Math.round(charsPerLine * (video.videoHeight / video.videoWidth));
// Handle the webcam ready event
const handleUserMedia = (stream: MediaStream) => {
const video = videoRef.current
!
.
video
!;
video.srcObject = stream;
video.onloadedmetadata = async () => {
// Start the video
await video.play();
// Calculate the chars per column according to the input video aspect ratio
setCharsPerColumn(calculateCharsPerColumn(video));
setIsCameraReady(true);
};
};
// Handle orientation change
const handleOrientationChange = () => {
const video = videoRef.current
!
.
video
!;
setCharsPerColumn(calculateCharsPerColumn(video));
};
// Get the orientation change event
const mediaQuery = window.matchMedia('(orientation: landscape)');
// Add the event listener of the orientation change
useEffect(() => {
// On some devices, the change from portrait to landscape need to recalculate the chars per column to fit the aspect ratio
mediaQuery.addEventListener('change', handleOrientationChange);
// Remove the event listener when the component is unmounted
return () => {
mediaQuery.removeEventListener('change', handleOrientationChange);
};
}, []);
// Handle the copy to clipboard button click
const copyToClipboard = async (text: string) => {
try {
await navigator.clipboard.writeText(text);
console.log('Text copied to clipboard');
} catch (err: unknown) {
console.error('Failed to copy text: ', err);
}
};
// Tags of the webcam and video ascii element
// Show the webcam only when it is ready, otherwise show a loading message
return (
<div className={'Camera-Ascii-Panel'} data-testid='camera-ascii-test' ref={parentRef}>
<div>
<button className={'Button-Copy-Clipboard'}
onClick={async () => copyToClipboard(preTagRef.current!.innerText)}>Copy
</button>
</div>
<div>
<Webcam ref={videoRef}
style={{width: 0, height: 0, position: 'absolute', top: 0, left: 0}}
onUserMedia={handleUserMedia}
/>
{isCameraReady ? (
<VideoAscii
videoStreaming={videoRef.current!.video!}
parentRef={parentRef}
useColor={true}
charsPerLine={charsPerLine}
charsPerColumn={charsPerColumn}
fontColor={'white'}
backgroundColor={'black'}
preTagRef={preTagRef}
/>
) : (
<p className={'Camera-Ascii-Waiting'}>Camera not ready.<br/>Please wait...
</p>)}
</div>
</div>
);
};
export default CameraAsciiPanel;
Dependencies
The project is using React, TypeScript, JavaScript, TensorFlow, SCSS, CSS, etc...
You can find the dependencies in the dependencies
folder.
It uses the react-webcam library to get the video stream from the webcam.
https://www.npmjs.com/package/react-webcam
Deployment
To deploy the website, you need to run the following command:
npm run deploy
or if you are using yarn:
yarn deploy
Code style
The code style used in this project is XO.
You can find some changes in the .eslintrc.js
file.
The project is also set up to use ESLint.
GitHub Actions
The project is set up to run the following actions:
- node.js.yml : Runs the tests for the Node.js project.
- eslint.yml : Runs the ESLint linter on the project.
- codeql.yml : Runs the CodeQL linter on the project.
- npm-publish.yml : Publishes the package to the npm registry.
Documentations
ESLint:
https://eslint.org/docs/latest/user-guide/getting-started
GitHub gh-pages:
https://github.com/gitname/react-gh-pages
react-webcam:
https://www.npmjs.com/package/react-webcam
Links
Contributors
Quentin MOREL :
- @Im-Rises
- https://github.com/Im-Rises