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
1---2name: songsee3description: "Audio spectrograms/features (mel, chroma, MFCC) via CLI."4version: 1.0.05author: community6license: MIT7platforms: [linux, macos, windows]8metadata:9 loki:10 tags: [Audio, Visualization, Spectrogram, Music, Analysis]11 homepage: https://github.com/steipete/songsee12prerequisites:13 commands: [songsee]14---1516# songsee1718Generate spectrograms and multi-panel audio feature visualizations from audio files.1920## Prerequisites2122Requires [Go](https://go.dev/doc/install):23```bash24go install github.com/steipete/songsee/cmd/songsee@latest25```2627Optional: `ffmpeg` for formats beyond WAV/MP3.2829## Quick Start3031```bash32# Basic spectrogram33songsee track.mp33435# Save to specific file36songsee track.mp3 -o spectrogram.png3738# Multi-panel visualization grid39songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux4041# Time slice (start at 12.5s, 8s duration)42songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg4344# From stdin45cat track.mp3 | songsee - --format png -o out.png46```4748## Visualization Types4950Use `--viz` with comma-separated values:5152| Type | Description |53|------|-------------|54| `spectrogram` | Standard frequency spectrogram |55| `mel` | Mel-scaled spectrogram |56| `chroma` | Pitch class distribution |57| `hpss` | Harmonic/percussive separation |58| `selfsim` | Self-similarity matrix |59| `loudness` | Loudness over time |60| `tempogram` | Tempo estimation |61| `mfcc` | Mel-frequency cepstral coefficients |62| `flux` | Spectral flux (onset detection) |6364Multiple `--viz` types render as a grid in a single image.6566## Common Flags6768| Flag | Description |69|------|-------------|70| `--viz` | Visualization types (comma-separated) |71| `--style` | Color palette: `classic`, `magma`, `inferno`, `viridis`, `gray` |72| `--width` / `--height` | Output image dimensions |73| `--window` / `--hop` | FFT window and hop size |74| `--min-freq` / `--max-freq` | Frequency range filter |75| `--start` / `--duration` | Time slice of the audio |76| `--format` | Output format: `jpg` or `png` |77| `-o` | Output file path |7879## Notes8081- WAV and MP3 are decoded natively; other formats require `ffmpeg`82- Output images can be inspected with `vision_analyze` for automated audio analysis83- Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines
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