Project overview
youtube-to-text accepts a YouTube URL or local file, extracts audio, and transcribes it with local faster-whisper or ElevenLabs Scribe v2. It outputs paragraph-segmented text, optional SRT subtitles, and an optional summary; Claude can clean up English brand and technical terms in Hebrew transcripts. Apple Silicon macOS is the primary target, with local processing by default, while the cloud engine requires an ElevenLabs key.
Repository facts
- Primary language
- Python
- License
- MIT
- Repository updated
- Jun 25, 2026
- Default branch
- main
Resource types
General skill
Use cases
Media, audio and video
Platforms
Claude Code, Codex, and more
Runtime
Local
Capabilities
Audio processingSummarizationTranscription