yt-whisper
glancer
yt-whisper | glancer | |
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3 | 6 | |
1,316 | 154 | |
- | - | |
0.0 | 2.6 | |
4 months ago | 8 months ago | |
Python | Haskell | |
MIT License | BSD 3-clause "New" or "Revised" License |
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yt-whisper
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me in real life
#28 transcribe local files
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YouTubeTranscript.com
Or even better, yt-whisper, which uses OpenAI's Whisper speech to text. I guess it'd be better to first check whether the video has captions first before Whispering, so maybe both your command and this one could be used together.
https://github.com/m1guelpf/yt-whisper
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[P] Transcribe any podcast episode in just 1 minute with optimized OpenAI/whisper
With minimal changes to https://github.com/m1guelpf/yt-whisper i got a setup to transcribe subs from YouTube videos or local files bit it might take an hour or so running the large model on my CPU.
glancer
- Now I Can Just Print That Video
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YouTubeTranscript.com
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
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Data is always something new to learn in the area, some new tool to try, some new insight to discover, — Ruben Berenguel
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.
- creates a static HTML page with regular shots from the video with the corresponding Youtube CC on the side
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Show HN: 10x Your YouTube Productivity
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
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Running external programs with haskell
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)
What are some alternatives?
subsai - 🎞️ Subtitles generation tool (Web-UI + CLI + Python package) powered by OpenAI's Whisper and its variants 🎞️
audio_alignment - Align various Sanskrit texts and audio
ChatGPT-YouTube-summarizer - This Chrome extension lets you summarize YouTube videos using the ChatGPT.
tldwol - Web API that summarizes multimedia from various sources using modern AI tools.
chatgpt_system_prompt - A collection of GPT system prompts and various prompt injection/leaking knowledge.
auto-subtitle - Automatically generate and overlay subtitles for any video.
YouWhisper - Convert YouTube videos to text using openai/whisper
gentle - gentle forced aligner
web-align-audio-text - Ramayana audio/text alignment website
malayalam_english_subtitle_generator - Malayalam to English Subtitle Generator for audio files using OpenAI's Whisper.