Skip YouTube video sponsors (browser extension)
Find a file
2020-01-28 23:52:15 -05:00
.github/workflows Add web-ext and ci artifact generation 2019-12-29 19:35:02 -05:00
options Merge pull request #245 from jplsek/opt-html5 2020-01-19 10:11:23 -05:00
public Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00
src Converted more code to TypeScript. 2020-01-28 23:52:15 -05:00
webpack Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00
.gitignore Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00
config.js.example Updated API URL 2020-01-28 15:45:18 -05:00
crowdin.yml Polish translation created 2020-01-12 23:46:38 +01:00
jest.config.js Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00
LICENSE Update LICENSE 2019-07-30 18:38:07 -04:00
package-lock.json Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00
package.json Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00
README.md Updated API url 2020-01-28 15:38:32 -05:00
tsconfig.json Started conversion to TypeScript. 2020-01-28 22:16:48 -05:00

Logo
Logo by @munadikieh

SponsorBlock

Download: Chrome/Chromium | Firefox | Website | Stats

Unofficial Ports: MPV

Badge Badge Badge Badge Badge

SponsorBlock is an extension that will skip over sponsored segments of YouTube videos. SponsorBlock is a crowdsourced browser extension that lets anyone submit the start and end times of sponsored segments of YouTube videos. Once one person submits this information, everyone else with this extension will skip right over the sponsored segment.

Also support Invidio.us.

Server

The backend server code is available here: https://github.com/ajayyy/SponsorBlockServer

It is a simple Sqlite database that will hold all the timing data.

To make sure that this project doesn't die, I have made the database publicly downloadable at https://api.sponsor.ajay.app/database.db. So, you can download a backup or get archive.org to take a backup for you if you want.

Hopefully this project can be combined with projects like this and use this data to create a neural network to predict when sponsored segments happen. That project is sadly abandoned now, so I have decided to attempt to revive this idea.

API

You can read the API docs here.

Build Yourself

You can load this project as an unpacked extension. Make sure to rename the config.js.example file to config.js before installing.

There are also other build scripts available. Install npm, then run npm install in the repository.

Developing with a clean profile

Run npm run dev to run the extension using a clean browser profile with hot reloading (by default Firefox). This uses web-ext run.

Packing

Run npm run build to generate a packed extension.

Credit

The awesome Invidious API is used to grab the time the video was published.

Original code from YTSponsorSkip, but not much of the code is left.

Some icons made by Gregor Cresnar from www.flaticon.com and are licensed by CC 3.0 BY

Some icons made by Freepik from www.flaticon.com are licensed by CC 3.0 BY