Drop in your exported stems. Get back a folder that makes sense.
StemStash turns messy stem exports into an organized, ready-to-mix session in minutes. It classifies every stem by instrument, tags BPM and key, and sorts it all into clean folders.
Free Hobby tier included: 10 credits to try it, no card required.
Up to 500
stems per project
Up to 20GB
per project
630K+
training samples behind the model
Used by 750+
industry professionals
Deterministic by design
The same set of stems returns the same classification, BPM, and key on every run. Nothing here is a random guess that changes if you re-upload.
You stay in control
Every detected group, filename, BPM, and key is editable in a review table, with a visible confidence score, before anything exports.
Built for volume
Drag in tens or hundreds of files at once, with resumable uploads and per-file progress.
Output groups
Specification
- Input formats
- WAV, AIFF, FLAC, MP3
- Files per project
- Up to 500
- Max file size
- 2048 MB
- Storage retention
- Up to 2 hours after export
- Analysis
- Deterministic, no per-stem generative call
by Dave Nunes
An hour of renaming stems, gone in seconds.
Every session ended the same way: a folder of kick (3) FINAL_v2.wav and Untitled-1.wav, no tempo, no key. So Dave Nunes built StemStash, a small, real engineering team, reviewed end-to-end with security taken seriously from the first commit. Classification, tempo, and key detection are plain signal processing running on our own servers, not a generative model rewriting your music. Files are encrypted, never used to train anything, and auto-deleted within 2 hours of export.
Secure payments powered by Stripe
Stripe is PCI-DSS compliant, and StemStash never sees or stores your full card number.
Your stems stay private
Encrypted storage, auto-deleted within 2 hours of export. Never used to train AI models.
4.8 out of 5 on Trustpilot
Based on 243 verified reviews
See it in action
The same six stems, before and after. Nothing here is uploaded or processed. This is a click-through preview of the real export structure.
Before
- kick (3) FINAL_v2.wav
- New Recording 14.wav
- Untitled-1.wav
- vocal_take_9_use this one.wav
- audio_export_bounce_2am.wav
- Master_v7_ACTUALFINAL.wav
After
Click “Clean up” to preview the organized output.
How the analysis pipeline works
5 stages, per project
Classification
Zero-shot audio classification
Matched against dozens of sound categories using the full file, not just a few seconds of it. The same stem always comes back with the same label.
Tempo
Onset-based beat tracking, read from the master only
Reads the master file when there is one. Without it, drum and bass stems are cross-checked against each other for a number worth trusting.
Key
Chroma pitch-class correlation
Matched against major and minor key profiles. Drums, FX, and silent stems are left out of the calculation entirely.
Master detection
Evidence-based, never volume alone
Found from filename, confidence, and duration together, never just picked as the loudest file.
Silence
Peak-based level analysis
Flagged by peak level across the whole file. A few sparse hits won't get mistaken for silence.
Stop renaming stems by hand.
Drop in your next export and get back a folder that’s already organized, in minutes, not the rest of your evening.
Files live in a private, ownership-checked storage area and are auto-deleted within 2 hours of export. Never used to train AI models, by us or anyone else.