Moises

Moises is an artificial intelligence-powered music platform designed to help musicians, singers, producers, songwriters, educators, and content creators practise, perform, create, and collaborate. Developed by Moises Systems, Inc., the platform combines audio separation, music analysis, vocal processing, practice tools, and AI-assisted music production in one creative suite. It is available through web, desktop, and mobile applications, allowing users to work with music in different environments.

Moises was founded in 2019 with the goal of making advanced music technology more accessible. Its tools help musicians understand existing recordings, practise difficult passages, develop arrangements, and explore new creative possibilities. Rather than concentrating only on generating complete songs from text prompts, Moises focuses on helping users work with existing audio and build on their own musical ideas.

One of the platform’s best-known features is AI Stem Separation. This technology separates a mixed audio recording into individual musical components, commonly called stems. Depending on the selected model and plan, users can isolate vocals, drums, bass, guitar, piano, keyboards, and other instrumental parts. They can then mute, solo, or adjust individual components to study a song, practise along with selected instruments, or prepare material for further production.

Stem separation is useful for musicians who want to learn a song without its original vocal, practise a guitar or bass part, study a drummer’s performance, or understand how a musical arrangement is constructed. Producers can also use separated stems when creating remixes, edits, and alternative arrangements. The quality of the separation depends on the source recording and the selected processing model, so some audio leakage or artefacts may remain.

Moises also includes AI Chord Detection and music-analysis tools. These features help identify chords and musical keys in uploaded recordings, making it easier for musicians to learn songs and develop arrangements. Chord information can support guitarists, pianists, singers, and other instrumentalists who want to understand a song’s harmonic structure. Results may require musical judgment, particularly when a recording contains complex harmonies, unusual tuning, or overlapping instruments.

Another important feature is Pitch and Speed Control. Users can change a song’s key to suit their vocal range or instrument without having to recreate the entire arrangement. The speed-changing tools allow musicians to slow down difficult passages while preserving pitch, making them useful for practising fast solos, intricate rhythms, and unfamiliar melodies. Smart Metronome features can provide a steady beat to support timing and gradually improve performance.

Moises provides Lyrics and Lyric Transcription tools that help users work with the words of a song. Depending on the feature and recording, the platform can transcribe lyrics and display them alongside chord information. This can make it easier to learn a song, rehearse vocal parts, and follow musical phrasing. Automated transcription is not always perfect, particularly when vocals are quiet, heavily processed, or mixed with loud instruments.

The platform also supports structured practice through features such as Song Sections and Setlists. Users can focus on particular parts of a recording, such as a verse, chorus, bridge, or solo, rather than repeatedly navigating through an entire track. Setlists help organize songs for lessons, rehearsals, performances, and personal practice. These tools are useful for musicians preparing for concerts, working with a band, or organizing a regular practice routine.

For creators who want to develop original music, Moises has expanded beyond practice and audio analysis into AI-assisted production. Its creative suite includes Moises Studio, a browser-based collaborative workspace where musicians can arrange, record, and edit music together. Participants can work on a shared session in real time, helping reduce the need to exchange multiple project files or manually reconcile different versions. The workspace is intended to support human-led music creation, with AI tools assisting the process rather than replacing the musician’s creative decisions.

Moises Studio includes tools for generating complementary musical parts, separating stems, and developing ideas from existing performances. Stem Generation can help users create additional instrumental material based on a musical idea, while Voice Conversion allows vocal tracks to be transformed using supported voice models. The platform also offers music-enhancement and mastering capabilities intended to help users refine their productions. Access to specific tools and usage limits depends on the selected plan.

Another part of the Moises ecosystem is Video Recording. Musicians can record performances with audio and video, review their playing, and share recordings with an audience. This is useful for music teachers, performers, social media creators, and students who want to document their progress or publish performance videos. The platform also provides tools for working with multimedia audio, including separating dialogue, music, and sound effects in supported workflows.

Moises supports musicians across different devices. Its web application runs in a browser, while desktop applications are available for macOS and Windows. Mobile applications support iPhone, iPad, and Android devices. Certain features are optimized for specific platforms: mobile is particularly useful for practising and recording on the go, while desktop and web environments provide a more extensive production workspace.

The platform also offers integrations for digital audio workstation workflows. Its VST plugin and supported DAW integrations allow users to bring selected Moises capabilities into their music-production environment. Moises has also partnered with Fender Studio Pro, enabling supported stem separation, stem generation, and voice-conversion workflows inside the DAW. Integration availability and features depend on the host software, subscription, and product version.

Privacy and licensing are important considerations for users working with original recordings. Moises states that it does not use users’ uploaded content to train its AI models and that its models are trained using licensed materials. Users should still ensure they have permission to upload, process, distribute, or commercially release any recordings and other material they do not own. The rights and conditions applicable to generated content may vary by tool, voice model, and subscription.

Moises offers a free version alongside paid subscriptions. The free tier provides limited access to selected tools and a restricted number of uploads or uses. Paid plans provide expanded access, higher usage limits, and advanced features. Additional credit-based tools may have monthly allowances, and unused credits may expire at the end of the applicable billing period. Users should review the current plan comparison before subscribing.

Overall, Moises is a versatile music toolkit for people who want to learn songs, practise instruments, analyse recordings, isolate musical parts, and develop original productions. Its combination of stem separation, chord detection, pitch and speed control, lyric tools, recording features, collaborative production, and DAW integration makes it useful for beginners and experienced musicians alike. Its main limitations are plan-based usage restrictions, the variable quality of AI processing, and the need to check licensing and compatibility before using the tools in professional projects.