glancer VS ChatGPT-YouTube-summarizer

I had a huge backlog of tech videos, so I wrote me this (also to play a bit with Haskell, the base idea can be replicated easily in any language though): https://github.com/rberenguel/glancer

At work, most of my projects related to high volume data processing, with a focus on keeping costs low and performance high. Out of work, I like working on many different things, like custom productivity tools (like this one to save time watching technical presentations) or creating generative artwork.

I did a similar (in spirit, to save time) thing [1] to be able to skim on technical presentations: it creates a static HTML page with regular shots from the video with the corresponding Youtube CC on the side. It can help decide if a presentation is worth a watch (or just get the gist of one). Uses youtube-dl and ffmpeg under the hood.

[1]: https://github.com/rberenguel/glancer

I have some live (as in in code I use) examples here: https://github.com/rberenguel/glancer/blob/main/src/Process.hs#L36 (using readProcess and callProcess)

I see your transcript, and I raise you my ChatGPT summarized transcript extension!

https://github.com/ricklamers/ChatGPT-YouTube-summarizer

All jokes aside, I love the automated transcripts from YouTube. Videos are just so inefficient to consume as a format.