Moises AI
Separate vocals, drums, bass, and instruments from any song with AI in seconds.
Moises AI Review: AI Music Tool That Separates Stems and Removes Vocals Instantly
Every musician, producer, and content creator has hit the same wall — you want the instrumental of a song, or just the vocals, or just the drums, and there is no clean way to get it. Moises AI solves this completely. It separates any song into individual stems — vocals, drums, bass, guitar, piano — in under a minute using AI. Used by over 10 million musicians worldwide, it has become the standard tool for practice tracks, remixing, content creation, and music production workflows.
Quick Summary
Moises AI is an AI-powered music stem separation and vocal removal tool that isolates individual instruments and vocals from any audio track, used by over 10 million musicians and producers worldwide.
Is it worth using? Yes — the most accurate and widely used AI stem separation tool available.
Who should use it? Musicians, producers, content creators, music teachers, and anyone needing isolated stems from existing recordings.
Who should avoid it? Users needing full music generation rather than stem separation (use Suno AI or Udio AI instead).
Verdict Summary
Best for
- Musicians creating practice tracks with isolated stems
- Producers remixing and sampling existing recordings
- Content creators removing vocals from songs for background music
Not for
- AI music generation from scratch
- Podcast or voice audio processing
- Teams needing batch processing of large audio libraries at low cost
Rating ⭐⭐⭐⭐½ 4.6 / 5
What Is Moises AI?
Moises AI is an AI music technology platform founded in 2019 in Brazil, now used by over 10 million musicians in 190 countries. Its core product is AI-powered stem separation — the ability to take any song and isolate individual audio components including vocals, drums, bass, guitar, piano, and other instruments into separate, clean audio tracks. The AI models behind Moises have been trained on millions of songs across all genres, producing separation quality that significantly outperforms older DSP-based methods.
Beyond separation, Moises added a chord and beat detection feature — it analyses any song and displays the chord progression and tempo in real time as it plays, making it an invaluable practice tool for musicians learning by ear.
How Moises AI Works
- Upload your audio file — Upload any MP3, WAV, or audio file to Moises AI, or paste a YouTube link directly for processing.
- Select separation type — Choose 2 stems (vocals/instrumental), 4 stems (vocals, drums, bass, other), or 5+ stems for full instrument isolation.
- AI processes the track — Moises AI separates the audio into clean individual stems. Processing takes under a minute for most tracks.
- Download individual stems — Download each separated stem as a clean audio file for your workflow.
- Use chord and beat detection — Enable real-time chord and BPM detection to see the song’s harmonic and rhythmic structure.
- Use in your workflow — Import stems into your DAW, use isolated vocals for practice, or use the instrumental as background music.
Key Features
- AI stem separation — vocals, drums, bass, guitar, piano, and more
- 2, 4, and 5+ stem separation options
- Real-time chord detection with chord progression display
- BPM and beat detection
- YouTube URL import for direct processing
- Key detection and pitch shifting
- Metronome and speed control for practice workflows
- Mobile app for iOS and Android
Real-World Use Cases
- Musician practice: Isolate the bass track from a complex song to practise playing along without other instruments covering your mistakes.
- Music production and remixing: Extract clean vocal or instrumental stems from existing recordings for remixing or sampling.
- Content creation: Remove vocals from a song to create a clean instrumental background for YouTube videos or social content.
- Music education: Teachers isolate individual instrument stems to demonstrate specific parts of a song for students.
Pros and Cons
| Pros | Cons |
|---|---|
| Best stem separation accuracy in the category | Separation quality varies on complex dense mixes |
| 10M+ users — most proven music AI tool | Free plan limited to 2 monthly separations |
| Chord and beat detection unique combination | Does not generate music — separation only |
| YouTube URL import avoids file download step | Full stem separation requires paid plan |
| iOS and Android mobile apps available | Some bleed between stems on certain genres |
Pricing & Plans
Free — $0/month
- 2 stem separations per month
- Standard separation quality
- Chord and beat detection included
Pro — $4.99/month
- Unlimited separations
- 5-stem separation (full instrument isolation)
- High-quality separation processing
- Priority queue
Pro Annual — $3.33/month (billed annually)
- All Pro monthly features
- Best value plan
Best Alternatives & Comparisons
Frequently Asked Questions (FAQ)
Moises AI is an AI music stem separation platform that isolates vocals, drums, bass, guitar, and other instruments from any song into individual clean audio tracks.
Yes — the free plan includes 2 stem separations per month. The Pro plan at $4.99/month provides unlimited separations.
Moises AI produces highly accurate separation on most popular music genres. Quality can vary on very dense or heavily layered recordings where instrument frequencies overlap significantly.
Yes — you can paste a YouTube URL directly into Moises AI for processing without needing to download the audio file first.
2-stem separation produces vocals and instrumental only. 5-stem separation isolates vocals, drums, bass, guitar, and piano as separate individual audio files.
Yes — Moises AI has dedicated iOS and Android apps with full stem separation and chord detection functionality.
Final Recommendation
Moises AI is an essential tool for any musician, producer, or music-adjacent content creator. At $4.99/month for unlimited separations it is one of the best value AI tools in any category. The free plan’s 2 monthly separations are enough to test the output quality on your specific genre and use case before upgrading.
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