Moises
Why Choose Moises?
Choose this if you need a powerful assistant to separate and remix music tracks effortlessly. It's a must-have for musicians and producers looking to experiment with sound.
AI-powered app for musicians to separate tracks, remove vocals, and remix songs.
Moises Introduction
What is Moises?
Moises is a musician's app that uses machine learning to separate song tracks into various formats. It leverages a state-of-the-art source separation algorithm developed by Deezer. Users can upload a track or use a YouTube link to process it in the cloud. The app allows users to remove vocals, separate instruments, master tracks, and remix songs with AI.
How to use Moises?
Upload a track or use a YouTube link on the Moises website or app. The AI will process the song and allow you to separate vocals and instruments, adjust speed and pitch, and more.
Why Choose Moises?
Choose this if you need a powerful assistant to separate and remix music tracks effortlessly. It's a must-have for musicians and producers looking to experiment with sound.
Moises Features
AI Mastering
- ✓AI Audio Separation
- ✓Smart Metronome & Audio Speed Changer
- ✓Pitch Changer & AI Key Detection
- ✓Chord Detection
FAQ?
Pricing
Pricing information not available
About Moises
What Is Moises?
Moises is a musician's app that uses machine learning to separate song tracks into various formats. It leverages a state-of-the-art source separation algorithm developed by Deezer. Users can upload a track or use a YouTube link to process it in the cloud. The app allows users to remove vocals, separate instruments, master tracks, and remix songs with AI.
Key Features
- AI Audio Separation
- Smart Metronome & Audio Speed Changer
- Pitch Changer & AI Key Detection
- Chord Detection
Best For
- Teams evaluating AI Mastering solutions
- AI audio separation workflows
- AI Mastering workflows
- AI Stems Splitter workflows
- AI Vocal Remover workflows
Category Context
Moises is listed under on AI-U and can be compared against other products in the same category for use case fit, feature coverage, and pricing model.