MAGEN7.AI · MUSIC PLAYER + VISUAL ENGINE

Music you can see.

SYNESENSE is a desktop music player that turns whatever you are listening to into a real-time visual field — a diffusion engine running natively on your machine. The player works standalone; the visuals are an extra you opt into.

A real music player under the visuals.

All visuals run on top of a full player — not a demo. Library, EQ and playlists work with zero models installed.

Full music player

Play, pause, seek, queue, MiniPlayer. The player always works, with or without the visual engine.

Audio-reactive visual engine

A diffusion model renders a real-time visual field from the live audio signal — natively via ONNX Runtime.

10-band EQ + replay gain

Sound shaping in the decode path: normalize loudness and sculpt the mix before it reaches your ears.

Library & smart playlists

Folder scanner, album art, metadata and smart playlists backed by a bundled SQLite database.

Device sync

A Rockbox / USB-MSC sync wizard keeps portable players in step with your library and playlists.

Optional by design

Visual engine models download on first use — non-modal, background, cancelable. Never a gate.

The player is never gated behind the models.

Boot straight into a usable player. The visual engine is an extra you opt into — surfaced non-modally, downloaded on first use, always optional.

On your hardware, end to end.

No cloud round-trip: audio in → decode → EQ → inference → canvas, all local.

ENG-01

Diffusion visual engine

Streams the live audio signal through a diffusion model to produce the visual field, frame after frame, on-device.

ENG-02

First-use download

Models are fetched the first time you use them, in the background, with progress shown in-app. Cancel anytime.

ENG-03

Zero-lock-in

No model, no problem. Core features are model-free by construction — the visual field is an opt-in extra.

Let the music
dream in color.

Free on Windows. Music player first, visuals after — and only when you want them.

Download for Windows

Windows 10/11 · Tauri v2 · MIT license