LibreAI / Clipping / py-autovod
// clipping · 0jc1/py-autovod

py-autovod

Auto-download livestreams, AI-clip the highlights, upload in realtime.

💎 Hidden gem★ 30 stars⑂ 17 forksMITupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

py-autovod is an open-source clipping project by 0jc1 (0jc1/py-autovod on GitHub). It has 30 GitHub stars and 17 forks, is released under the MIT license, and was last updated on GitHub on 17 September 2026.

Repository
0jc1/py-autovod
GitHub stars
30
Forks
17
License
MIT
Last updated on GitHub
17 September 2026
Category
Clipping
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clone the repository

    Download the source and enter the folder.

  2. Configure streamers

    Add the Twitch or Kick channels to watch.

  3. Launch the pipeline

    Start the Docker containers.

  4. Collect the clips

    Find AI-cut highlights uploaded automatically.

// features

Why people love it

Auto-download

Captures livestreams as they happen.

AI clipping

Finds highlight moments automatically.

Realtime upload

Clips go up while the stream runs.

Twitch and Kick

Supports both major platforms.

Dockerized

Runs as containers with rclone uploads.

ffmpeg cutting

Precise clip extraction under the hood.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/0jc1/py-autovod.git
    cd py-autovod
  2. Step 2 — Configure channels

    Add the streamers to watch per the README.

    # edit config with your Twitch/Kick channels
  3. Step 3 — Start the pipeline

    Launch the clipping containers.

    docker compose up -d
// use cases

What you can build

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// faq

Questions, answered

Who maintains py-autovod?

It is an open-source project at 0jc1/py-autovod with 17 forks.

Is it free for commercial use?

Yes. It is MIT licensed.

Which platforms are supported?

Twitch and Kick livestreams.

How does it find highlights?

AI analysis picks the clip-worthy moments from the broadcast.

Where do clips go?

They upload in realtime — rclone support covers cloud destinations.

// keep exploring

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// alternatives

Alternatives in Clipping

The most-starred other Clipping projects in the LibreAI catalogue — the realistic shortlist if py-autovod is not the right fit.

Get py-autovod

Free and open — grab the source, star the repo, and start creating.