Dr. Session - a Mac app I built that listens to messy audio folders and sorts them automatically, then builds your Ableton session.
Gets Smarter the More You Use It
It Correct a classification once, and Dr. Session remembers. A built-in learning engine adapts to your specific sample library and naming habits over time, so accuracy improves the more you use it, not the reverse. Screenshot: the inspector panel where a user corrects a track's classification, showing the before/after label change.
It Listens, Not Reads
Drop in a folder of stems, samples, or one-shots. Dr. Session analyzes the actual audio using neural classification models and sorts everything by what it hears: kick, snare, hihat, bass, synth, vocals, FX, and more. No more guessing what "Track_047.wav" actually is. Screenshot: the main results list right after a folder's been dropped in, showing a batch of files with their detected type labels and color coding.
One Drag-and-Drop Instead of an Hour Once
everything's sorted, export straight into a ready-to-open Ableton Live session: every clip on the right track, correctly colored and named. What used to take an hour of manual sorting becomes a single export.
Built for the Mess You Actually Have
Built for the Mess You Actually Have Not a demo reel. Dr. Session is built and tested against real, unorganized sample libraries and multitracks, the kind that don't come pre-labeled, because that's what actually piles up on a working producer's drive.