Stem Splitter

Split a full mix into separate instrument tracks: vocals, drums, bass, guitar, piano and everything else — 6 clean stems from one upload.

Audio
Add audio or drag it here · MP3, WAV, M4A, OGG, FLAC Up to 200 MB and 5 minutes · with Prime up to 1 GB and 8 minutes

You get up to 6 stem tracks — every stem is saved to your music archive.

More audio tools

AI Stem Separation: Split a Song into 6 Instrument Stems

Free AI stem splitter: separate a song into 6 stems — vocals, drums, bass, guitar, piano and the rest of the mix. Upload an MP3, download every stem.

What the AI Stem Splitter Extracts

  • Vocals — the lead voice lifted out of the mix as a clean standalone stem
  • Drums — the whole kit as its own stem — ready for sampling, replacing or re-balancing
  • Bass — the bass line isolated from the low end, so you can transcribe or re-amp it
  • Guitar and piano — the two melodic stems most arrangements are built on, separated from each other
  • Everything else — strings, synths, brass and background layers arrive as one “other” stem

How to Split a Song into Stems Online

  1. Upload a track in MP3, WAV, M4A, OGG or FLAC — up to 8 minutes long — or pick a song from your archive.
  2. Press “Split into stems” and let the AI stem separator work through the mix; a full song usually takes a few minutes.
  3. Download the stems you need from your music archive — each one is a separate audio file you can drop straight into a DAW.

What Stem Separation Is Used For

  • Remixes and mashups — start from a clean vocal stem and rebuild the backing track around it
  • Sampling — pull an isolated drum groove or bass line out of a record, no EQ tricks needed
  • Practice and transcription — mute the guitar stem to play the part yourself, or solo the piano to learn the chords
  • Karaoke and live sets — drop the vocal stem and keep the full arrangement instead of a filtered instrumental
  • Mix rescue — re-balance a bounced mixdown when the original session files are long gone

AI Stem Separation vs Old-School Filters

Phase tricks and EQ can only push frequencies down, which is why a classic karaoke filter leaves a hollow backing track. AI source separation works differently: the model listens to the whole mix and rebuilds each instrument as its own audio stream, so the drums keep their transients and the bass keeps its weight. Results still depend on the source — a dense, heavily compressed master separates less cleanly than a spacious arrangement, and a quiet instrument buried in the mix can bleed into the “other” stem. Nothing is invented: the stem splitter takes an existing recording apart, it never writes new music.

Frequently Asked Questions

How many stems do I get?

Up to six: vocals, drums, bass, guitar, piano and one “other” stem with the rest of the arrangement. Silent stems are dropped, so a song with no piano comes back as five files.

How long can the song be?

Up to 8 minutes per upload. A longer recording has to be trimmed first — our MP3 Cutter can slice a long mix into parts, and each part can then be split into stems.

Which audio formats can I upload?

MP3, WAV, M4A, OGG and FLAC, plus any track already saved in your Homiwork music archive.

Is the stem splitter free?

Yes. There is no signup, and new users get starter energy points. A full six-stem split is the most compute-heavy audio tool we run, so it costs 100 points.

Why does it cost more than the vocal remover?

The vocal remover makes one cut — voice against instrumental — for 22 points. The stem splitter resolves six sources in the same recording, which takes several times more processing: 100 points.

Do I get MIDI or sheet music?

No, the output is audio stems only. If you need notes, split the song first and then run one stem — a bass or piano track — through our Audio to MIDI tool.

Can I use the stems in my own release?

That depends on the rights to the original recording — splitting a song gives you no licence to it. Work with tracks you own or have permission to use.

Related tools

4.92 18,437 ratings
User #4365351

I really liked the text-on-photo editor — the result turned out to be an absolute masterpiece.

Web · May 2026
User #4383661

Thank you, the work of the neural network really impressed me. Perfect!

Web · May 2026
User #4279467

I really like it — would be great to have a few more free tries.

Google Play · May 2026
User #4160129

A wonderful app with affordable prices.

Web · May 2026
Text copied
Done
Error