Video
Miko
A 3D AI desktop companion with lip-sync, powered by local models.
★ 274 starsGPL-3.0
View guide →Turn lecture videos into study notes with machine learning.
lecture2notes is an open-source video project by HHousen (HHousen/lecture2notes on GitHub). It has 67 GitHub stars and 17 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 2 July 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Adapt the pipeline to your own format needs.
Automates the repetitive parts of video work.
Creates accurate subtitles from speech.
Translates and re-voices videos automatically.
Handles many videos without manual babysitting.
Keeps resolution and color faithful to the source.
Download the source and move into the project folder.
git clone https://github.com/HHousen/lecture2notes.git
cd lecture2notesGet the notebook server with pip.
pip install jupyterStart Jupyter and open the project's notebook.
jupyter notebookIt is an open-source project at HHousen/lecture2notes with 17 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes for most uses, but it is AGPL-3.0 (copyleft): if you distribute modified versions, you must share your source changes too.
Most tools accept MP4 and common formats; check the README for the exact list.
Many run locally with GPU acceleration; some features may call external APIs.
It depends on video length and your hardware — GPU acceleration helps a lot.
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