Twilio Video Processors is a collection of video processing tools which can be used with Twilio Video JavaScript SDK to apply transformations and filters to a VideoTrack.
The following Video Processors are provided to apply transformations and filters to a person's background. You can also use them as a reference for creating your own Video Processors that can be used with Twilio Video JavaScript SDK.
- Twilio Video JavaScript SDK (v2.29+)
- Node.js (v18+)
- NPM (v10+, comes installed with newer Node versions)
The Node.js and NPM requirements do not apply if the goal is to use this library as a dependency of your project. They only apply if you want to check the source code out and build the artifacts and/or run tests.
You can install directly from npm.
npm install @twilio/video-processors --saveUsing this method, you can import twilio-video-processors like so:
import * as VideoProcessors from '@twilio/video-processors';You can also copy twilio-video-processors.js from the dist/build folder and include it directly in your web app using a <script> tag.
<script src="https://my-server-path/twilio-video-processors.js"></script>Using this method, twilio-video-processors.js will set a browser global:
const VideoProcessors = Twilio.VideoProcessors;In order to achieve the best performance, the VideoProcessors use WebAssembly to run TensorFlow Lite for person segmentation. You need to serve the tflite model, binaries and web workers so they can be loaded properly. These files can be downloaded from the dist/build folder. Check the API docs for details and the examples folder for reference.
You can use the assetsPath option to specify the path to the assets. Depending on your use case, you can either serve the assets as follows:
For optimal security, performance, and the simplest configuration, we strongly recommend serving these assets from the same origin (domain, protocol, and port) as your main application. This avoids complexities with Cross-Origin Resource Sharing (CORS) and Content Security Policy (CSP).
You would typically copy the contents of the dist/build folder to a publicly accessible directory within your application's web server (e.g., /static/twilio-video-processors-assets/) and configure the assetsPath option in the VideoProcessors constructor to point to this location. For example:
// Assuming assets are served from https://example.com/static/twilio-video-processors-assets/
const virtualBackground = new VideoProcessors.VirtualBackgroundProcessor({
assetsPath: '/static/twilio-video-processors-assets/'
});If serving assets from the same origin is not feasible, you can host them on a different origin (e.g., a trusted CDN). However, this requires careful setup of CORS and CSP. If you choose this path, refer to the Cross-Origin Configuration section below for detailed instructions.
As highlighted in the Assets section, if you must host your Video Processors assets on a different origin than your main application, your browser's security policies (CORS and CSP) will require specific configurations.
The following sections provide details on how to set these headers for cross-origin requests. For the sake of simplicity, we'll use https://example.com as your app's origin and https://assets.example.com as the origin of the assets such as the tflite model, and web workers.
// Assuming you need to serve assets from https://assets.example.com
const virtualBackground = new VideoProcessors.VirtualBackgroundProcessor({
assetsPath: 'https://assets.example.com/static/twilio-video-processors-assets/'
});Your asset server must send the Access-Control-Allow-Origin HTTP response header, set to your app’s exact origin. This header informs the browser that your application's origin is permitted to fetch resources from the asset server.
Access-Control-Allow-Origin: https://example.com
If your application enforces a Content Security Policy (CSP), you'll need to update it to allow the loading and execution of Web Workers and related assets.
Content-Security-Policy: default-src 'self'; script-src 'self' 'unsafe-eval' data: https://assets.example.com; worker-src blob:; connect-src 'self' https://assets.example.com;
Note: This is a general baseline you can customize to fit your needs. You do not need to send this CSP exactly as is—your application’s CSP should be configured according to your specific security requirements, and you should always thoroughly test your CSP after making changes.
In the example above, we are allowing the required Web Workers to load properly. However, if changing the Content Security Policy (CSP) is not an option and you still need to host the assets on a different origin, you can use the useWebWorkers option to instruct the library not to use Web Workers. This will force the library to process video frames on the main thread, disabling the resilience and performance benefits of Web Workers, which could negatively impact the user experience (UX) of your application.
const virtualBackground = new VideoProcessors.VirtualBackgroundProcessor({
useWebWorkers: false
});These processors run TensorFlow Lite using MediaPipe Selfie Segmentation Landscape Model and requires WebAssembly SIMD support in order to achieve the best performance. We recommend that, when calling Video.createLocalVideoTrack, the video capture constraints be set to 24 fps frame rate with 640x480 capture dimensions. Higher resolutions can still be used for increased accuracy, but may degrade performance, resulting in a lower output frame rate on low powered devices.
Please check out the following pages for best practice: