Stems in One Click
The AI Stem Splitter turns any track into clean, isolated stems from a single upload. It separates vocals, drums, bass and other instruments — no DAW, no engineering experience, no original multi-track required.
Split any song into stems with the AI Stem Splitter
Isolate vocals, drums, bass and instruments in seconds — clean, studio-grade stems for remixes, karaoke, sampling and study.
AI STEM SPLITTER
Pull Any Song Apart — Studio-Grade Stems Instantly
Overview
AI Stem Splitter — Pull Any Song Apart in Seconds
Splitting a song used to require a session in a real studio with the original multi-track. Our AI Stem Splitter collapses that into a single click. Drop a track and the model separates it into clean stems — vocals, drums, bass, piano, guitar and other instruments — ready to remix, mashup, sample, or use as a karaoke instrumental.
Workflow
How the Splitter Engine Works
Powered by ACE-Step's audio-source separation models, the system analyzes the spectral content of your track and isolates each instrument family using deep learning trained on thousands of hours of multi-track music. The result is studio-grade stems with minimal bleed, even on dense, mastered, full-range mixes.
Use Cases
Who It's For
Built for producers, DJs, remixers, content creators, karaoke enthusiasts, music students, vocal coaches, podcasters and indie artists. Use it to build a karaoke version, remix your favorite song, sample a clean drum break, study a guitar solo in isolation, or extract an a cappella for a mashup.
What Makes It Unique
Why It's Different
Most stem splitters give you muddy outputs full of bleed and phase artifacts. The AI Stem Splitter delivers clean, broadcast-ready stems with full bandwidth, accurate transients and minimal cross-bleed — across vocals, drums, bass, piano, guitar and other instruments. Process is fast, fully online, and yours to use.
What is the AI Stem Splitter?
Every Genre Covered
From pop, rock, hip hop and EDM to lo-fi, jazz, K-pop, country, metal, classical and orchestral — the model is tuned across the full spectrum of modern and vintage productions.
Open ACE-Step Foundation
Built on the ACE-Step open-source audio framework, the splitter inherits its speed and quality — a 3-minute song fully separated in roughly 30 seconds, with broadcast-grade output ready for your next project.
Key Features of the AI Stem Splitter
🎛️ Studio-Grade Stems
- Isolate vocals, drums, bass, piano, guitar and other instruments with minimal bleed.
- Get an instant a cappella, instrumental, drum-only or bass-only version of any song.
- Full-bandwidth output preserves transients, harmonics and stereo imaging.
🚀 Producer-Friendly
- Use the stems for remixes, mashups, sampling, vocal coaching or transcription.
- Build a karaoke version of any song instantly — vocals out, instrumental in.
- Export each stem as MP3 / WAV, ready for Logic, Ableton, FL Studio or your DAW.
🔮 Coming Soon
- 6-Stem Mode — separate strings, brass, synths and FX as their own tracks.
- MIDI Transcription — convert each stem into editable MIDI for arranging.
- Stem-Based Remix — drop your splits straight into the AI Music Remixer.
Why Choose Our AI Stem Splitter?
Studio Speed
Full song split into stems in ~30 seconds — faster than booting a DAW.
Clean Separation
Minimal bleed, accurate transients and full-range output — broadcast-ready.
Any Genre, Any Era
Pop, hip hop, rock, EDM, jazz, classical, K-pop, lo-fi — handled with care.
Multiple Stem Modes
2-stem (vocal / instrumental), 4-stem (vocals, drums, bass, other) and more.
Producer-Ready
Drop the stems into your DAW and start remixing, sampling or arranging instantly.
Private & Secure
Your uploads are processed securely and removed after splitting — your work stays yours.
FAQ: AI Stem Splitter
What is the AI Stem Splitter?
It's an AI tool that separates any song into clean isolated stems — typically vocals, drums, bass and other instruments. The output is studio-grade and ready to use for remixes, karaoke, sampling and study.
What stems can I extract?
You can extract vocals, drums, bass and other instruments (piano, guitar, synths). 2-stem (vocal / instrumental) and 4-stem modes are supported, with 6-stem and instrument-specific modes coming soon.
How long does it take to split a song?
A typical 3-minute song is split in roughly 30 seconds, depending on duration and quality settings.
What audio formats are supported?
Common audio formats including MP3, WAV, M4A, FLAC and AAC are supported on upload. Output stems are delivered in MP3 / WAV, ready for any DAW or media player.
How clean are the resulting stems?
Our model is tuned for broadcast-grade quality — minimal bleed, full bandwidth, preserved transients and stereo imaging. It performs well even on dense, mastered modern productions.
Can I make a karaoke version of any song?
Yes. Use the splitter to isolate vocals from a track, then keep only the instrumental stem — the result is a clean, ready-to-sing karaoke version with full backing track.
Can I use the stems for remixes and mashups?
Absolutely. Producers and DJs use stems to build remixes, mashups, edits and re-rubs. Drop the extracted stems straight into Ableton, Logic, FL Studio or your DAW of choice.
Can I sample drums or bass from any track?
Yes. The splitter delivers an isolated drum and bass stem, perfect for sampling, chopping and resampling. Always respect the original song's licensing rights when releasing your work.
Is the splitter useful for music students and vocal coaches?
Definitely. Music students and vocal coaches use isolated stems to study technique, transcribe parts, practice along with a clean instrumental, or analyze a vocal performance in detail.
Are the extracted stems mine to use?
The stems you create are yours to use within your rights to the original song. For copyrighted material, follow normal music-licensing rules — for original or royalty-free songs, the stems are completely free to use.
Split Your First Track With AI
Drop a song, pick the stems you need, and walk away with clean vocals, drums, bass and instrumental tracks — ready for remix, karaoke or sampling.