AudioPod AI
  • Pricing

Stem Splitter

What to do with stems

The four jobs people actually use this for, the fastest route to each, and the two things you can do to a finished part without downloading it — convert it to MIDI, or open it in the Studio.

Lesson 4 · advanced · 7 min read

Open Stem Splitter

Almost everyone arrives at this tool with one of four jobs in mind. Each has a fastest route, and in every case the route is decided by picking the right mode rather than by anything you do afterwards — which is why this is the last lesson rather than the first.

The four jobs

What you want
How to get it
A karaoke or backing track
Exclude the vocal for one ready-mixed file, or the Karaoke preset if you also want the vocal itself.
A practice track for your instrument
Exclude your own part. You get the full arrangement with a hole where you play, which is far more useful than an isolated stem of it.
A remix or a sample bed
Band or Detailed to get the parts, or a decomposition package if you need the kit broken up. Isolate when you only want one element.
A podcast or interview with music under it
Exclude to pull the music bed out and leave the speech. For two people talking over each other, that is a different tool — speaker separation, not stem splitting.

What people use stems for, and the shortest way there.

Tip

Notice how many of these are Exclude. Any job you can phrase as “the song without the ___” belongs there, and phrasing it that way out loud is the fastest way to pick the right tab.

Convert a part to MIDI

Every eligible finished stem carries a Convert to MIDI action underneath its player. It transcribes the notes in that part into a .mid file you can drop into any DAW or notation software — useful when what you needed was not the audio but the notes: a bass line to learn, a melody to re-voice, a chord progression to build on.

Stem
What to expect
Bass
Transcribes most reliably — the best place to start.
Vocals
Lead melody line.
Piano
Chords and melody.
Guitar (Experimental)
Dense or heavily-strummed guitar is hit-or-miss.

The parts that offer MIDI conversion, with the tool's own notes.

Drums aren't transcribed yet — coming later. Anything else — the “other” part, ensembles, effects — has no conversion action at all, because a transcription of them would not be worth the credits.

Careful

MIDI is a starting point — expect to tidy timing and note lengths. Drums aren't transcribed yet. Dynamics are approximate. Works best on clean recordings. It is a starting point and the tool says so on the button. Converting is billed separately from the split, at 300 credits per minute of the part you convert, and the estimate appears before you confirm.

Start with bass if you have never done this. Transcribes most reliably — the best place to start. It is monophonic, it is loud in the mix, and its notes are unambiguous — everything that makes transcription reliable.

Send it to the Studio instead

The other per-part action is the Studio handoff, and it is the one that most changes how the tool feels to use. Rather than downloading files and opening them somewhere else, you can load them straight into AudioPod's Studio.

  • Every stem downloads on its own, from its own row. There is no zip and no download-all.
  • function(){throw Error("Attempted to call OPEN_ALL_IN_STUDIO_LABEL() from the server but OPEN_ALL_IN_STUDIO_LABEL is on the client. It's not possible to invoke a client function from the server, it can only be rendered as a Component or passed to props of a Client Component.")} loads the whole job into the Studio as one track per stem — which is the fastest route to a rough mix, and it downloads nothing.
  • function(){throw Error("Attempted to call OPEN_IN_STUDIO_LABEL() from the server but OPEN_IN_STUDIO_LABEL is on the client. It's not possible to invoke a client function from the server, it can only be rendered as a Component or passed to props of a Client Component.")} on a single row does the same for one stem.

function(){throw Error("Attempted to call OPEN_ALL_IN_STUDIO_LABEL() from the server but OPEN_ALL_IN_STUDIO_LABEL is on the client. It's not possible to invoke a client function from the server, it can only be rendered as a Component or passed to props of a Client Component.")} is the version worth knowing. It takes the whole job and lays every part out as its own track, aligned, ready to balance or mute or bounce. For a remix bed or a rough mix it removes the entire download-and-reimport step, and for judging a split it is simply the quickest way to hear the parts against each other.

What stems are not

Two honest limits, both worth knowing before you build a project on this. A stem is not a multitrack: it is an estimate of a part, carrying whatever bleed and artefacts the separation left behind, and it will not survive the same treatment an original recording would. Push one hard with EQ or a heavy effect and the artefacts come forward.

And separating a recording does not change who owns it. Stems taken from a commercial song carry exactly the rights that song carried — a remix, a cover bed or a sample needs the same permission it always did. AudioStems is a technical tool and cannot grant you any right you did not already have.

Questions

What people ask about this

Free to start

Now go make one

Reading about a style description only gets you so far. The studio is free to use — write one sentence and hear what comes back.

Create a free account

1,000 credits every month. No card required.

Previous lessonGetting a clean separation

All Stem Splitter lessons

Make something worth hearing.

Start creating free

Create

  • Music
  • Text to speech
  • Audiobooks
  • Podcasts
  • Voice changer
  • Audio reader
  • Narration

Edit & convert

  • Stem splitter
  • Separate speakers
  • Noise reduction
  • Speech to text
  • Media converter
  • Browser DAW
  • All features

Developers

  • Developer hub
  • API reference
  • Quickstart
  • Python SDK
  • MCP server
  • Changelog
  • API status

Resources

  • Guides
  • Languages
  • Use cases
  • Alternatives
  • Tool comparisons
  • AI audio guide
  • Glossary
  • Showcase

Free tools

  • Audio Format Converter
  • Video to Audio Extractor
  • Voice Recorder
  • Free Stem Splitter
  • Free Vocal Remover
  • All free tools

Company

  • About
  • Manifesto
  • Careers
  • Blog
  • Customers
  • Affiliate program
  • Contact
All pages · Sitemap

Studio

  • AI Music & Rap
  • Text to Speech
  • Audiobook Studio
  • Podcast Generator
  • Voice Changer
  • Audio Reader
  • AI Narrator
  • Studio overview
  • All features

Edit & process

  • Stem Splitter
  • Speaker Separation
  • Noise Reduction
  • Speech to Text
  • Media Converter
  • Browser DAW
  • YouTube to Podcast

Voices

  • Voice library
  • Languages
  • Iconic voices
  • Showcase
  • Music Radio

Free tools

  • All free tools
  • Audio Format Converter
  • Video to Audio
  • Audio Trimmer
  • Voice Recorder
  • ACX Checker
  • Free Stem Splitter
  • WAV to MP3 Converter
  • MP4 to MP3 Converter

Solutions

  • Audiobook authors
  • Podcasters
  • Musicians & creators
  • Education
  • Voice agents
  • Gaming
  • Accessibility
  • Advertising
  • All use cases
  • Authors program
  • Enterprise

Compare

  • vs ElevenLabs
  • vs Suno
  • vs Descript
  • vs Murf
  • vs NotebookLM
  • vs LALAL.AI
  • vs NarrationBox
  • All alternatives
  • Tool comparisons

Resources

  • Blog
  • Guides
  • Music Studio guides
  • Audiobook guides
  • Speaker Separation guides
  • Stem Splitter guides
  • Voice Studio guides
  • Transcription guides
  • Changelog
  • Launches
  • Customers
  • Glossary
  • AI Audio guide
  • Family voice (mobile)
  • AudioPod mobile
  • Affiliate program
  • Pricing
  • Developers
  • For AI agents
  • AudioPod for Startups

Company & legal

  • About
  • Manifesto
  • Careers
  • Press & media
  • Contact
  • Responsible AI
  • Voice consent
  • Trust & security
  • System status
  • Security disclosures
  • Security policy
  • Privacy
  • Cookie policy
  • Terms
AudioPod AI

© 2026 AudioPod AI, Inc. All rights reserved.

Privacy|Terms|Trust Center|Responsible AI|Voice consent