What does Stems do and what problem does it solve?
Stems is a tool that separates vocals and instruments from songs. It uses Facebook's Open Source Demucs Library to provide state-of-the-art vocal and instrumental isolation.
Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31
Stems is a powerful and easy to use audio separator.
Traffic & engagement
Search demand
AI referral visibility
Product profile
Traffic makes more sense when you can connect it to the actual product promise.
“Stems”
Stems is a powerful and easy to use audio separator.
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://stems.app
Observed across 1 discovery source.
Research questions
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
Stems is a tool that separates vocals and instruments from songs. It uses Facebook's Open Source Demucs Library to provide state-of-the-art vocal and instrumental isolation.
The product is designed for DJs, producers, and music learners. Its intuitive interface is described as making it an invaluable tool for these users.
Stems offers the ability to download separated audio files, including vocals, drums, bass, and other instrumental tracks. The interface is described as intuitive and easy to use.
Stems is a powerful and easy-to-use audio separator. It is categorized under 'Audio & Voice' and uses AI to isolate vocals and instruments from songs.
4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured