songsee

Generate spectrograms and multi-panel audio feature visualizations from audio files.

Prerequisites

Requires Go:

go install github.com/steipete/songsee/cmd/songsee@latest

Optional: ffmpeg for formats beyond WAV/MP3.

Quick Start

# Basic spectrogram
songsee track.mp3
Save to specific file

songsee track.mp3 -o spectrogram.png
Multi-panel visualization grid

songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux
Time slice (start at 12.5s, 8s duration)

songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg
From stdin

cat track.mp3 | songsee - --format png -o out.png

Visualization Types

Use --viz with comma-separated values:

| Type | Description |
|------|-------------|
| spectrogram | Standard frequency spectrogram |
| mel | Mel-scaled spectrogram |
| chroma | Pitch class distribution |
| hpss | Harmonic/percussive separation |
| selfsim | Self-similarity matrix |
| loudness | Loudness over time |
| tempogram | Tempo estimation |
| mfcc | Mel-frequency cepstral coefficients |
| flux | Spectral flux (onset detection) |

Multiple --viz types render as a grid in a single image.

Common Flags

| Flag | Description |
|------|-------------|
| --viz | Visualization types (comma-separated) |
| --style | Color palette: classic, magma, inferno, viridis, gray |
| --width / --height | Output image dimensions |
| --window / --hop | FFT window and hop size |
| --min-freq / --max-freq | Frequency range filter |
| --start / --duration | Time slice of the audio |
| --format | Output format: jpg or png |
| -o | Output file path |

Notes

• WAV and MP3 are decoded natively; other formats require ffmpeg
• Output images can be inspected with vision_analyze for automated audio analysis
• Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines