Transcribe YouTube videos and Apple podcasts to Readable Markdown
There have been many existing projects that transcribe YouTube videos with Whisper and its variants, but most of them aimed to generate subtitles, while I had not found one that priortises readability. Whisper does not generate line break in its transcription, so transcribing a 20 mins long video without any post processing would give you a huge piece of text, without any line break or topic segmentation. This project aims to transcribe videos with that post processing. Any feedback here, or on Github issues, would be very appreciated.
Transcribe YouTube videos and Apple podcasts to Readable Markdown launched on October 16, 2024 with 6 votes, #1,611 of 5,185 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
YouTube, Apple Podcasts (and more) to readable Markdown. - shun-liang/yt2doc
yt2doc transcribes videos & audios online into readable Markdown documents. yt2doc is meant to work fully locally, without invoking any external API. The OpenAI SDK dependency is required solely to interact with a local LLM server such as Ollama . There have been many existing projects that transcribe YouTube videos with Whisper and its variants, but most of them aimed to generate subtitles, while I had not found one that priortises readability. Whisper does not generate line break in its transcription, so transcribing a 20 mins long video without any post processing would give you a huge piece of text, without any line break or topic segmentation. This project aims to transcribe videos…from github.com
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