Playlists built from what the music actually is
SongPlaylists orders music by what's in the audio — energy, tempo, key, and feel. Analyze your library once and build sets that flow, for any room, workout, or mood.
Step 1
Upload a track
Bring a song you own, created, licensed, or have rights to process — including real-world and lossy audio, not just clean demo files.
- Works with messy, real-world audio
- One upload, one shared library
- Your source stays in your account
Step 2
AFCUT analyzes it
The audio intelligence layer turns raw audio into timing, structure, and stems.
- Beat grid and timing markers
- Stem-aware separation
- Workflow-ready structure
Step 3
Curate with SongPlaylists
Build playlists from the analyzed library — ordered by energy arc, tempo band, and key compatibility instead of guesswork.
- Energy arcs that actually flow
- Tempo bands for any activity
- Key-aware transition ordering
Step 4
Shape the set
Drag the arc, pin the anchors, set the vibe boundaries — the order recalculates around your calls while the flow stays intact.
- Pin tracks, keep the flow
- Arcs for warm-up, peak, and cool-down
- Sets sized to the hour or the mile
Step 5
Organize your library
Keep playlists, analysis, and library data in one place — sets that get smarter with every track you add.
- One library, every workflow
- Find and reuse past work
- Export when you're ready
Questions about the workflow
A few quick answers about the SongPlaylists workflow. See the full FAQ for more.
SongPlaylists builds playlists from audio analysis — energy, tempo, key, and feel — powered by AFCUT, the shared audio intelligence layer.
From one analyzed library, SongPlaylists produces ordered sets with real flow — energy arcs, tempo bands, and key-aware transitions — for any room, workout, or mood.
Yes. SongPlaylists is built for the music people actually work with — including degraded MP3s, live-feel material, dense arrangements, and AI-generated audio — not just clean demo files. The goal is output that is usable in a real workflow.
Streaming algorithms optimize for their engagement, not your room. SongPlaylists reads your actual library's audio and builds the arc you asked for — and the set is yours, not a black box.
Start with SongPlaylists
Join early access and be first to build playlists from real audio analysis.
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No credit card required
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Early access to the suite