Extract transcripts from local media files using embedded subtitles or Whisper.
npx skills add https://github.com/SomtoUgeh/dotfiles --skill local-transcript
Please help me install this Agent Skill. Skill: local-transcript Source: https://github.com/SomtoUgeh/dotfiles/tree/main/claude/skills/local-transcript Command: npx skills add https://github.com/SomtoUgeh/dotfiles --skill local-transcript
This Skill extracts transcripts from local video and audio files using embedded subtitle tracks when available, or OpenAI Whisper API as a fallback, enabling quick transcription without uploading files to the cloud.
Use uv to run the local transcript tool: uv run scripts/get_local_transcript.py "/path/to/media/file" uv run scripts/get_local_transcript.py "/path/to/media/file" --timestamps
High-intent search queries and answers about installing and using this skill.
To generate transcripts from local media, this Skill extracts text from embedded subtitle tracks first and falls back to the OpenAI Whisper API, enabling offline transcription directly from your personal video and audio collections.
Yes, you can add timestamps to subtitles extracted from local video and audio by passing the --timestamps flag when running the Python script, preserving transcript integrity for easy reading and searchable archives.
Yes, you need ffmpeg and ffprobe to process local media files, and an OpenAI API key is required for Whisper transcription fallback when no embedded subtitle tracks are present in the source video or audio.
The best way to transcribe interviews with existing subtitles is to use this Skill, which prioritizes extracting embedded subtitle tracks for instant transcripts before attempting slower API-based Whisper transcription.
To run the local transcript script using uv, execute 'uv run scripts/get_local_transcript.py' followed by your media file path, and append '--timestamps' if you need time markers in the output text.
Whisper transcription fallback triggers when ffprobe detects no embedded subtitle tracks in the local media file, requiring an OpenAI API key to process the audio and generate a searchable text transcript.
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