knoopx transcribe-audio
Transcribes audio files to text using whisper-cpp locally and offline. No API keys or network required.
Basic Transcription
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