transcribe-audio
Transcribes audio files to text using whisper-cpp (local, offline). Use when converting speech to text, transcribing podcasts, lectures, meetings, or any audio content.
What this skill does
# transcribe-audio Transcribes audio files to text using whisper-cpp locally and offline. No API keys or network required. ## Basic Transcription ```bash transcribe-audio input.mp3 # Transcribe with default settings transcribe-audio input.wav --language en # Specify language transcribe-audio input.flac --model medium # Use a larger model for better accuracy ``` ## Options - `--language <code>` — specify source language (auto-detect by default) - `--model <size>` — choose model size: `tiny`, `base`, `small`, `medium`, `large` - `--output <format>` — output format: `txt`, `srt`, `vtt` (default: `txt`) - `--timestamp` — include timestamps in output ## Supported Formats MP3, WAV, FLAC, OGG, M4A, and any format whisper-cpp supports. For best results, use uncompressed WAV or FLAC. ## Tips - Larger models (`medium`, `large`) are more accurate but slower - Auto-detect language works well for common languages; specify explicitly for mixed-language audio - Output with timestamps is useful for subtitles: `transcribe-audio file.mp4 --output vtt` - All processing is local — no data leaves your machine
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