Free AI Stem Splitter

There are a dozen reasons to want a finished song pulled apart, and they all start the same way: you've got one file and you need the pieces instead. A stem splitter takes a mixed track and separates it back into its layers — the vocals, the drums, the bass and everything else — so you can work with each one on its own. Drop a song in here and you get four stems plus a mixer, where you can solo or mute any combination and set the level on each part before you export. Every stem downloads as a full-quality WAV, or you can grab all four at once in a single ZIP. There's no account and no per-song fee, because the heavy lifting happens on your own computer rather than a server we'd have to charge you for.

If you've used a vocal remover, this is the same idea pushed a step further. A vocal remover hands you two outputs — the voice and the backing — while a stem splitter gives you the whole picture in four parts. That matters because different jobs want different stems: a DJ needs the drums and bass, a singer wants the instrumental, a producer is after one synth line, and someone learning an instrument wants the band with their own part muted. Four stems cover all of those without making you decide up front. The split is driven by Demucs, Meta's Hybrid Transformer model and winner of the 2021 Sony Music DemiXing Challenge, packaged so it runs on your computer.

What You Get: Vocals, Drums, Bass and Other

Every split comes back as the same four stems, and that grouping is deliberate. Vocals, drums, bass and "other" cover the whole arrangement without getting so granular that the model starts making guesses it can't back up. The first three are self-explanatory; the fourth is a catch-all for everything melodic and harmonic — guitars, piano, keys, synths, strings, horns and whatever else the mix throws at you. In a typical pop track that fourth stem carries most of the harmony, so it's often the busiest and most surprising of the bunch. It's worth knowing this is a four-stem split, not a ten-stem one; if you need the guitar pulled apart from the piano specifically, you'll want a more specialized tool.

• 🥁 Drums. The whole kit — kick, snare, toms, hi-hats, cymbals and percussion — gathered into one stem. This is the one DJs reach for when they want a track's groove without its melody.
• 🎸 Bass. Bass guitar and synthesized basslines together. Because the bass sits low and center, this is usually where the model has the hardest time telling a low kick from a low bass note, so expect a little bleed here.
• 🎹 Other. Guitars, piano, keyboards, synths, strings, horns and effects. It's the biggest bucket, and in most pop mixes it holds the harmony the instrumental is built on.
• 🎤 Vocals. Lead and backing voices combined. Mute this stem to make your own instrumental, or download it alone for an acapella.

How the Stem Separation Works

Stem separation sounds straightforward until you remember what a finished song actually is: a single waveform where the kick drum, the bass note and the vocal all occupy the same sample at the same instant. There's no marker in the file saying where the voice stops and the guitar begins. So the model has to decide, moment by moment, how much of that combined sound belongs to each source — and the only reliable way to do that is with a trained neural network, not a filter. A basic EQ can carve out a frequency range, but it can't distinguish a low kick from a low bass note, and it can't follow a vocal that dips into the guitar's register. That's why the job falls to Demucs rather than a set of presets.

Demucs listens the way a good engineer does, attending to the whole track at once instead of guessing from isolated bands, which is exactly what let it win the 2021 Sony Music DemiXing Challenge. When you run it here, the model works through your song in short overlapping segments, estimates how much of each segment belongs to each stem, then stitches those estimates into four continuous files. That segmented math is also why splitting takes minutes instead of seconds — a full song is an enormous amount of computation, and it's all done on your own CPU or graphics chip. The trade-off is the point: your song stays on your computer, and there's no datacenter bill for anyone to pass along to you.

How to Split Stems From Any Song

1. Load a track. Drag an MP3, WAV, FLAC, OGG, M4A, AIFF or WEBM into the box, or click to browse. The first time you use the tool, the AI model downloads once (~170 MB) and is cached for every visit after that.
2. Run the split. Hit "Split into Stems" and let the model work through the song in chunks. A progress bar shows how far along it is, and a rough time estimate updates as it goes. Keep the tab open — if the browser puts it to sleep, you'll have to start over.
3. Mix, preview and download. A mixer appears with all four stems. Use the Solo and Mute buttons to audition any combination, set each stem's volume, then download the parts you need as WAV — or take all four in one ZIP.

Why the Split Stays on Your Device

Most stem splitters are cloud services, and that one fact explains everything else about how they work. When you upload a song to one, you're sending a copy to the company's servers, where their model processes it and holds onto it long enough to bill you and improve their training data. That's why those tools ask you to make an account, why the free tier stops after a short clip, and why the subscription price exists in the first place — somebody has to pay for all that computing. This page runs the other way. The model gets downloaded into your browser once, and from then on every split is performed by the device sitting in front of you.

Practically, that changes a few things you'll notice. You can run unreleased tracks, rough demos and client work through it without handing anyone a copy, which matters when the song isn't yours to share yet. There's no length cap beyond what your computer's memory can hold, so a seven-minute song costs the same as a thirty-second one. And because there's no account, there's no "log in to download" step waiting at the end of the flow. The honest downside is speed — your laptop is slower than a datacenter — which is exactly what the next section covers.

How Long It Takes, and What Speeds It Up

The short version: on a desktop with a graphics chip, expect roughly two minutes of processing for every minute of song, so a three-and-a-half-minute track lands around seven minutes. Without a GPU it's closer to seven minutes per minute of audio, which turns that same song into a twenty-five-minute wait. Those numbers are rough because your hardware and the length of the track both matter, and the on-screen estimate recalculates once your file is loaded. The single biggest speed lever is a modern desktop browser — Chrome or Edge both support WebGPU, which the model uses heavily, while Firefox works and Safari is noticeably slower. Phones run it too, but they have less memory and slower chips, so long tracks can stall or fail outright.

Song length is the other variable you control. A seven-minute epic uses proportionally more memory and time than a radio edit, and it also raises the odds the browser kills the tab to reclaim RAM. If you only need one section, trimming the file first saves you most of the wait. The model itself downloads just once and then stays cached, so your second and third splits skip the download entirely and go straight to processing.

What People Use a Stem Splitter For

Tips for Cleaner Audio Stems

• Start with the best source you can find. A clean studio master splits far better than a compressed MP3 or a phone recording of a speaker, because the model has less noise to untangle.
• Expect a little bleed between bass and drums. Every separation model struggles where a kick and a bass note overlap in the low end. The result is still perfectly usable; it just won't be surgical.
• Use a desktop with a GPU. A laptop with a graphics chip finishes a song in a few minutes. Without one, the same track can take several times longer.
• Keep songs under about seven minutes. Longer tracks eat more memory and take proportionally more time, and they're more likely to get killed by the browser.
• Reach for Chrome or Edge. Their WebGPU support is the biggest single speed-up this tool can use; Firefox works, and Safari is the slowest of the three.

Which Tool Do You Need?

OwnSound has three overlapping tools for pulling a song apart, and they exist because different jobs stop at different points. A stem splitter is the one you're on now; a vocal remover is a lighter two-output split, and an instrumental extractor keeps only the backing.

	Stem Splitter	Vocal Remover	Instrumental Extractor
Output	4 stems (drums, bass, other, vocals)	Instrumental + vocals	Instrumental only
Best for	Remixing, DJing, sampling	Karaoke + acapella in one	Quick backing track
Files to download	4 WAVs (or ZIP)	2 WAVs	1 WAV
When to pick it	You want the parts, not the whole	You want both sides of the split	You only want the backing

OwnSound vs. LALAL.AI, Moises & Spleeter

The popular stem splitters break into two camps: cloud services that upload your file and cap free use, and open-source tools with no friendly interface. OwnSound sits in between — a real browser tool that keeps your audio local, hands you a mixer, and charges nothing. The table below lays out the differences on the things you'll actually feel day to day.

	OwnSound	LALAL.AI	Moises	Spleeter
Price	Free, no limits	Freemium, paid from ~$15/mo	Freemium, paid plans	Free (open source)
Account required	No	Yes	Yes	No
Where it runs	On your device (browser)	Their servers	Their servers	Your computer (command line)
Audio uploaded	Never	Yes	Yes	No
Model	Demucs (HTDemucs)	Proprietary	Proprietary	Spleeter (U-Net)
Stems per split	4 (vocals/drums/bass/other)	Up to 10 (paid)	4–5	2 / 4 / 5
Speed	Minutes (local)	Seconds	Seconds	Minutes (needs GPU)
Free usage	Unlimited	Short clips only	Heavily capped	Unlimited
Solo / mute mixer	Yes, built in	No	In app	No
ZIP download	Yes	Yes	Yes	No
File length limit	None (device memory)	Varies by plan	Capped on free	None
Works offline after setup	Yes	No	No	Yes