Vizzie turns music into a picture.
Vizzie is an audio-visual visualizer driven by MUSIC, not audio — one self-contained HTML file. It reads a track's Apple Music Understanding (AMU) analysis — bars, beats, sections, phrases, key, loudness, pace and per-instrument activity — and draws to that musical clock. No install, no account, no network.
WTF
Every music-visual tool for 30 years drove visuals from FFT/RMS — audio energy that correlates with the music but doesn't know it. Vizzie is different: the clock is AMU's musical timeline, so the visual locks to actual bars and sections, not a spectrum guess. Press play and the AMU clock runs (self-advancing, or riding your uploaded audio); the picture pulses on the beat, sweeps on the bar, shifts color at each section, and reacts to breakdowns. The timeline below shows every AMU parameter as a lane you can scrub.
CREATED BY
SOFTWARE
Copyright © 2024–2026 Wes Smith / ONEMANSHYO
License GPL-3.0 — source code; free & open source
Build Single-file HTML — no paywalls, no dependencies
ASSETS
Squint icon, artwork, music, and analysis data Copyright © 1997–2026 Juice Recordings LLC (Yo Team) — all rights reserved. Not covered by the GPL-3.0 license. The GPL applies to Vizzie's source code only; these assets are proprietary and separately reserved.
TECHNICAL
Clock Apple Music Understanding musical timeline (bars/beats/sections) — never FFT/RMS/frame-time
Analysis AMU SessionResult JSON (via OMS Sozo Sidecar, macOS 27, on-device)
Rendering HTML5 Canvas (single-file). WGSL renderer planned for desktop Chrome.
TOOLS
Claude AI (Anthropic) — development partner
Apple Music Understanding — the musical clock