Socket
Socket
Sign inDemoInstall

@pankod/canvas2video

Package Overview
Dependencies
174
Maintainers
8
Versions
6
Alerts
File Explorer

Advanced tools

Install Socket

Detect and block malicious and high-risk dependencies

Install

    @pankod/canvas2video

canvas to video renderer


Version published
Weekly downloads
9
increased by350%
Maintainers
8
Created
Weekly downloads
 

Readme

Source
            

@pankod/canvas2video

Create dynamic, data-driven videos on the fly.

Maintainability Test Coverage npm version npm dependencies Status dev-dependencies Status

Created by Pankod


About

@pankod/canvas2video is a backend solution for creating and rendering dynamic videos. It lets you build web canvas scenes by using the Cairo-backed fabric library and add animations with gsap. Your animation timeline will be rendered frame by frame and piped to ffmpeg renderer for the final video output.

Use Cases

📺 Personalized video advertising

🎞️ Programmatical customization of video templates

⛅ Creating dynamic videos with real-time data (See: Weather Example - Youtube)

Getting started

To install the module, run the following in the command line:

npm install @pankod/canvas2video --save

or

yarn add @pankod/canvas2video

Usage

renderer expects a makeScene function where you create your canvas animation by using fabric and gsap methods. It returns a stream of frames to be consumed by the encoder in the next step.

Below is a basic example of a one-second rotation animation of "Hello World" text. After rendering the animation and encoding the video, the output will be saved to output/hello-world.mp4.

import { renderer, encoder } from "@pankod/canvas2video";

const helloWorld = async () => {
    const stream = await renderer({
        silent: false,
        width: 1920,
        height: 1080,
        fps: 30,
        makeScene: (fabric, canvas, anim, compose) => {
            const text = new fabric.Text("Hello world", {
                left: 400,
                top: 400,
                fontSize: 100,
                fill: "#f99339",
                angle: 0,
            });
            canvas.add(text);
            anim.to(text, {
                duration: 1,
                angle: 360,
                ease: Power3.easeOut,
            });
            compose();
        },
    });

    const output = await encoder({
        silent: false,
        frameStream: stream,
        output: "output/hello-world.mp4",
        fps: {
            input: 30,
            output: 30,
        },
        
    });
    console.log("process done,", output.path);
};

You may refer the following documentations to learn how the construct your own makeScene methods:

📃Fabric.js Documentation

📃GSAP Documentation

You can optionally provide the encoder function a backgroundVideo object. In this case, your animation will be used as an overlay layer and merged with the background video. More information about the usage of background videos is given in the Options section.

Examples


You'll find two working demos int the examples folder folder of the project. Give them a try by following the steps below:

Check out examples
$ git clone https://github.com/pankod/canvas2video.git
$ cd examples
$ npm i

After this, you can run commands at the below then check examples/output directory:

Example 1
$ npm run start:hello-world
Example 2
$ npm run start:weather

Options

Renderer

PropertiesTypeDescription
width
*required
numbercanvas width
height
*required
numbercanvas height
fps
*required
numberanimation fps
makeScene
*required
functionSee below

makeScene

The function takes 4 arguments(fabric, canvas, anim and compose) which is passed by the renderer function.

renderer({
    /* .. */
    makeScene: (fabric, canvas, anim, compose) => {
        /**
         * your code to create and manipulate your canvas
         */
    },
});
ParameterType
fabricfabric.js instanceRepo
canvasfabric.StaticCanvasRepo
animgsap.TimelineMaxRepo
compose() => void

Encoder

PropertiesTypeDescription
frameStream
*required
Readablerenderer function return value
output
*required
stringoutput file path
fps
*required
Object{ input: number, output: number }
backgroundVideoObjectSee below

backgroundVideo
backgroundVideo: {
  videoPath: string, // your background video path
  inSeconds: number, // video start time in seconds
  outSeconds: number, // video end time in seconds
}

To-do

📌 Lottie animation support

📌 Thread & concurrency management

📌 Finer control over encoder settings

License

License

Keywords

FAQs

Last updated on 09 Nov 2020

Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc