Transcribe Bilibili videos using CC subtitles, AI subtitles, or Whisper fallback.
npx skills add https://github.com/Animism001/skills --skill bilibili-transcript
Please help me install this Agent Skill. Skill: bilibili-transcript Source: https://github.com/Animism001/skills/tree/main/skills/bilibili-transcript Command: npx skills add https://github.com/Animism001/skills --skill bilibili-transcript
This Skill extracts accurate transcripts from Bilibili videos by prioritizing CC subtitles when available, then auto-generated AI subtitles across languages, and finally Whisper-based transcription as a fallback, delivering a structured TXT report that includes metadata and a full transcript saved in the workspace/Bilibili transcript folder.
Run the bilibili-transcript skill with a Bilibili video URL to generate a ready-to-share transcript in the workspace/Bilibili transcript folder.
High-intent search queries and answers about installing and using this skill.
To extract a Bilibili video transcript, this tool prioritizes available CC subtitles, then AI subtitles, and finally uses Whisper offline transcription as a fallback. It automatically selects the best source and outputs a formatted TXT file with metadata and full text.
Yes, you can get subtitles for Bilibili videos without existing captions by using Whisper transcription as a fallback. When CC and AI subtitles are unavailable, Whisper processes the video audio offline to generate a readable text transcript.
Bilibili transcript extraction supports multi-language AI subtitles by detecting and utilizing available languages like ai-zh and ai-en. It automatically selects the appropriate subtitle track and converts the output into Simplified Chinese text.
To handle Bilibili cookie authentication for downloading subtitles, the transcript extraction process implements automatic browser cookie handling. This ensures access to restricted video content and subtitle tracks during the extraction workflow.
The best way to convert Bilibili video audio to text offline is using Whisper transcription as a fallback mechanism. It processes audio directly when CC and AI subtitles are missing, generating a structured TXT transcript saved to the workspace.
Yes, you need Python and yt-dlp to transcribe Bilibili videos, along with Whisper and opencc. These dependencies handle video downloading, audio processing, and converting traditional Chinese subtitles to Simplified Chinese.
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