songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Source facts
- Repository
- ApiliumCode/mayros
- Last source activity
- February 25, 2026 at 23:20
- Detected SKILL.md language
- English
- Stars
- 13
- Forks
- 1
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Source instructions · Read-only preview- name
- songsee
- description
- Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
- homepage
- https://github.com/steipete/songsee
- metadata
- {"mayros":{"emoji":"🌊","requires":{"bins":"[Truncated]"},"install":["[Truncated]"]}}
# songsee
Generate spectrograms + feature panels from audio.
Quick start
- Spectrogram: `songsee track.mp3`
- Multi-panel: `songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux`
- Time slice: `songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg`
- Stdin: `cat track.mp3 | songsee - --format png -o out.png`
Common flags
- `--viz` list (repeatable or comma-separated)
- `--style` palette (classic, magma, inferno, viridis, gray)
- `--width` / `--height` output size
- `--window` / `--hop` FFT settings
- `--min-freq` / `--max-freq` frequency range
- `--start` / `--duration` time slice
- `--format` jpg|png
Notes
- WAV/MP3 decode native; other formats use ffmpeg if available.
- Multiple `--viz` renders a grid.
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