Tunefield puts your DJ library in a 3D field, with export behind a future paid release
The public beta offers local set planning on Apple Silicon, while the route into performance software has a separate price.
Tunefield gives your music collection coordinates. A track can be somewhere you fly toward, which is a pleasantly excessive alternative to squinting at another column of filenames.
The maker’s README describes a public beta for Apple Silicon Macs running macOS 14 or newer. Tempo, loudness, key and mood shape the field. Analysis stays on the Mac, alongside the music and the sets you create. The idea is to let musical relationships acquire a visible location.
Its manual makes the interaction more concrete. Tracks appear as spheres. Double-clicking adds one to the set, and playback moves through the selection while the camera visits each track. If an ordinary playlist is a list of decisions, this gives those decisions a route you can look at.
There is a practical catch right at the exit. The README says “Free, except export.” Pro is planned for January 2027 at €79 once, with a €59 advance sign-up price. Until that arrives, saving a playlist into a format you would take to another player is part of the future paid offering. That boundary deserves to be read before somebody spends a weekend making the perfect set (naturally).
A free planning tool can still be useful within that boundary. Someone auditioning transitions at home has a different requirement from someone preparing a playlist for an existing performance setup. The app’s visual appeal doesn’t answer which of those jobs is yours, and neither does the word free.
The manual’s explanation of metrics also deserves a look before you start trusting where everything landed. Some musical qualities are heuristic scores, and detected tempo or key can need correction. A point in an impressive field still represents a measurement with limits. The computer can put it in a mood; you get to disagree.
That suggests a better first experiment than feeding it everything you own. A small selection of familiar tracks would let you compare the visual arrangement with music you already understand. If the spacing suggests a transition you wouldn’t have tried, listen to it. If the analysis is wrong, check the correction tools before blaming the song for standing in the wrong neighborhood.
A spatial music browser could be especially useful when it makes an overlooked transition obvious. Its hardest test will be the handoff from enjoyable exploration to the software and equipment someone already uses. The beta can provide the exploration now. The advertised export date still has to become an available product.
The playlist has an exit fee.