programmerloverun/bilibili-to-doc — explained in plain English
Analysis updated 2026-05-18
Convert a technical tutorial video on Bilibili into a searchable Markdown reference document.
Turn an educational video into study notes with headings and code blocks.
Build a text searchable archive of video content for personal knowledge management.
Repost the text version of a video's content to a blog or public account.
| programmerloverun/bilibili-to-doc | bozhoudev/video-skills-toolkit | gonemedia/aipointer | |
|---|---|---|---|
| Stars | 98 | 98 | 98 |
| Language | — | TypeScript | TypeScript |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | general | vibe coder | general |
Figures from each repo's GitHub metadata at analysis time.
Needs Python 3.10+, the yt-dlp package, and a browser already logged into Bilibili for cookie access.
bilibili-to-doc is a Claude Code skill that turns a Bilibili video, a popular Chinese video platform, into a structured Markdown document. You give it a video link and it downloads the video's AI generated Chinese subtitles, then reorganizes those subtitles into a proper document with chapter headings, code blocks, comparison tables, and summary points instead of a wall of timestamped sentence fragments. Under the hood the skill uses a tool called yt-dlp to download the AI subtitle file, reads cookies from your browser to prove you are logged into Bilibili since the AI subtitles require an account, strips out the timestamps and line numbers, and merges the broken up sentences back together. It then uses AI to recognize logical sections in the text and rewrite them into a structured document, saving the result as a Markdown file on your desktop by default. To use it, you install the skill files into your Claude Code skills folder, then simply paste a Bilibili video link into a conversation along with a request like "turn this Bilibili video into notes." The project is aimed at people who want to convert technical tutorials, programming walkthroughs, or other educational Bilibili videos into searchable written reference documents, study notes, or content to repost on a blog. Setup requires Python 3.10 or newer, the yt-dlp package installed through pip, and a browser such as Chrome, Safari, Firefox, or Edge that is already logged into Bilibili so its cookies can be read. The skill only works on videos that already have AI generated subtitles, videos without them cannot be processed. The project is released under the MIT license.
A Claude Code skill that converts a Bilibili video's AI subtitles into a structured, readable Markdown document.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
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