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Professional stem separation for remixing, practicing, and producing
Create perfect karaoke tracks or instrumentals by cleanly removing vocals
Extract drum tracks for remixing or practice - industry-leading quality
Separate bass lines and guitar parts with exceptional clarity
Get vocals, drums, bass, melody, guitar, and piano as individual tracks
Professional-quality stems perfect for remixing and production
Analyze and learn from your favorite songs by isolating parts
MP3, WAV, any format • Stays 100% private
Vocals, drums, bass, guitar, or everything
Studio-quality separation • Use anywhere
Start free, upgrade when you need more, or contact us for team pricing
Perfect for schools & teams
"The demixing was very good, and much better than I was getting with RX 10. Thank you for giving me this chance to try the PRO version."
"Your platform is the best music score generator I've found, and it keeps getting better with every update."
"I demixed the tracks with your app for my latest production project. The results were fantastic!"
Our AI can separate vocals, drums, bass, melody, guitar, and piano from any song. Pro users get the highest quality separation.
Choose between WAV 24-bit (professional quality) or FLAC 16-bit (50% smaller files). Both maintain excellent audio quality.
Our AI uses the award-winning Demucs model. Drums and bass separation is industry-leading. Vocal removal is exceptionally clean.
You can use stems for personal projects, practice, and learning. Commercial use requires appropriate licenses from the original copyright holders.
Join thousands of producers using AI to unlock creative possibilities
Stem separation has revolutionized music production, education, and remixing by enabling musicians to extract individual instruments from mixed recordings. Our AI-powered stem splitter delivers professional-quality results that rival having access to original multitrack sessions. Using the award-winning Demucs Hybrid Transformer model, we provide industry-leading stem separation for vocals, drums, bass, guitar, piano, and other instruments with exceptional clarity and minimal artifacts.
Musical stems are individual components of a mixed recording — typically vocals, drums, bass, and harmonic instruments like guitar or piano. Professional stem separation means extracting these elements from a final stereo mix, essentially reverse-engineering the mixing process that combined them originally. This technology was impossible until recent advances in AI deep learning, and even now, few tools match the quality and precision of our stem extractor.
The process involves sophisticated neural networks that analyze audio in both time and frequency domains, understanding not just the sonic characteristics of different instruments, but their musical context and relationships. This deep musical understanding allows our system to cleanly separate overlapping instruments that occupy similar frequency ranges, such as bass guitar and kick drum, or piano and guitar chords.
Early attempts at stem separation relied on phase cancellation techniques and frequency filtering, producing artifacts, incomplete separation, and unusable results. These methods could only handle simple scenarios like center-panned vocal removal and left behind obvious processing artifacts that made the stems sound unnatural.
Modern AI stem splitters like ours use deep learning models trained on thousands of professionally mixed songs, learning to understand not just frequencies but musical structure, instrument behavior, and production techniques. Our stem separator processes music through multiple specialized neural network layers:
Remixing and Music Production: Electronic music producers and DJs use our stem extractor to create official remixes, mashups, and edits without access to original multitracks. Clean stem separation enables professional results without the phase cancellation artifacts and frequency gaps that plague older methods. Extract drum loops for new beats, isolate bass lines for electronic productions, or separate vocal melodies for house music remixes.
Sampling and Beat Making: Hip-hop producers rely on our drum isolation to extract clean breaks and percussion elements from classic records. The stem splitter preserves the original transients, dynamics, and groove essential for punchy, professional-sounding samples. Bass extraction maintains the low-end weight and rhythm pocket, while vocal separation provides clean acapellas for creative manipulation.
Live Performance and Backing Tracks: Bands and solo performers create custom backing tracks by removing specific instruments from recordings. A guitarist can extract everything except guitar to perform with a full band sound, while vocalists create perfect karaoke tracks with all instruments intact but vocals removed. The professional quality ensures live performances sound polished rather than obviously processed.
Audio Restoration and Post-Production: Audio engineers use stem separation to fix problems in mixed recordings that can't be addressed with traditional processing. Remove a problematic vocal take while preserving the instrumental arrangement, fix drum timing by separating and realigning the rhythm section, or eliminate unwanted instruments from complex mixes without affecting other elements.
We're particularly proud of our drum and bass separation capabilities, areas where many competitors struggle. The overlap between kick drum and bass guitar frequencies, plus the complex harmonic content of drum kits, presents significant challenges for AI systems. Our stem separator excels in these crucial areas:
Kick Drum and Bass Separation: While other systems blur the line between kick and bass or lose punch in the low end, our AI maintains the distinct character of each element. The kick retains its attack transient and body resonance, while the bass preserves its fundamental tone and harmonic content.
Hi-Hat and Cymbal Clarity: High-frequency percussion elements often get muddied or artifacted by inferior separation algorithms. Our system cleanly separates hi-hats, crashes, and rides while maintaining their shimmer and natural decay characteristics.
Drum Kit Cohesion: Rather than treating drum elements as isolated sounds, our AI understands the musical relationships within a drum kit. Ghost notes, cross-stick patterns, and complex polyrhythms are preserved as musical phrases rather than just individual hits.
Our vocal separation technology goes far beyond simple center-channel cancellation. The AI understands vocal characteristics across different genres, from intimate folk vocals to heavily processed pop productions:
Clean Vocal Extraction: Remove vocals while preserving stereo width, reverb tails, and harmonic content in the instrumental. Perfect for creating karaoke tracks that sound professionally mixed rather than obviously processed.
Vocal Isolation: Extract vocal tracks with their natural reverb and production characteristics intact. Ideal for remix work, sampling, or detailed vocal analysis and study. For dedicated vocal removal, see our specialized vocal remover tool.
Harmony and Background Vocals: Our system distinguishes between lead vocals and harmony parts, allowing for selective removal or isolation of different vocal layers in complex arrangements.
Four-Stem Separation (Standard Model):
This configuration provides the fastest processing with the clearest separation, making it ideal for remixing, karaoke creation, and general music production tasks.
Extended Stem Models (Pro Quality):
Extended models provide more granular control for detailed production work, music education, and complex arrangement analysis.
Our stem separator is built on the Demucs Hybrid Transformer architecture, the winning solution in Sony's Music Demixing Challenge. This cutting-edge system combines multiple processing approaches for optimal results:
Time-Domain Processing: Analyzes raw audio waveforms to capture transient information and attack characteristics crucial for drum separation and rhythmic accuracy.
Frequency-Domain Analysis: Examines spectral content to understand harmonic relationships and frequency distribution patterns unique to different instruments.
Cross-Domain Attention Mechanisms: Uses transformer architecture to understand relationships between time and frequency representations, enabling intelligent decisions about ambiguous musical content.
Multi-Resolution Processing: Analyzes music at different time scales, from individual note attacks to phrase-level musical structures, ensuring separation quality across various musical styles and arrangement complexities.
This hybrid approach is why our system can separate a bass guitar from a kick drum, distinguish piano from guitar in similar registers, or cleanly extract vocals from dense instrumental arrangements — challenges that defeat simpler separation systems.
Professional WAV Output: 24-bit depth maintains the full dynamic range of the original recording, essential for professional music production and mastering applications. This format preserves every detail of the separation for the highest possible quality.
Efficient FLAC Compression: Lossless compression reduces file sizes by approximately 50% while maintaining perfect audio fidelity. Ideal for archiving, sharing, or when storage space is a consideration.
Both formats maintain the sample rate of the original recording and preserve stereo imaging, ensuring that separated stems sound natural and professional when used in production contexts.
All stem separation processing occurs entirely within your web browser using WebAssembly and WebGPU acceleration. Your music files never leave your device, ensuring complete privacy for unreleased tracks, copyrighted material, or confidential client work. This approach offers several advantages:
Our separated stems integrate seamlessly into professional music production workflows:
DAW Compatibility: Stems import directly into Ableton Live, FL Studio, Logic Pro, Cubase, Pro Tools, and other professional audio software. Maintain project organization with properly named and formatted stem files.
Remix Package Creation: Generate complete remix packages with all stems properly labeled and formatted for distribution to other producers or official remix contests.
Educational Applications: Music teachers use separated stems to demonstrate arrangement concepts, while students analyze favorite songs by isolating and studying individual instrument parts. Teachers can also convert stems to sheet music for detailed musical analysis.
Content Creation: YouTubers, podcasters, and content creators extract background music or isolate vocal content for commentary and educational purposes.
To achieve optimal stem separation quality:
Whether you're a professional producer creating official remixes, a musician learning complex arrangements, or a content creator needing clean audio elements, our AI stem separator provides the quality and reliability demanded by modern music production. The combination of award-winning technology, complete privacy, and professional output formats makes it the preferred choice for serious musicians and producers worldwide. See how we compare to other tools in our comparison with Spleeter and LALAL.ai analysis.
Ready to experience professional-grade stem separation? Try our free stem separator and unlock the individual elements in your favorite music.