Voice Studio, mastering & how Moises compares

Changing a singer's identity, a quick mastering pass, and knowing when Moises is worth the round-trip versus staying local.

Voice Studio

Voice Studio changes the apparent singer identity of an existing vocal recording. It requires a real recorded performance as input — it does not generate a vocal performance from nothing. It attempts to preserve melody, rhythm, phrasing, pronunciation, dynamics, and timing while altering the perceived timbre, register, and identity of the voice.

1. On your vocal track, click the three-dot menu and select Convert Voice.
2. Browse and preview available voice models (the full roster runs 40+).
3. Ensure the source is an isolated vocal; if not, toggle Isolate Vocals ON during conversion.
4. Select a model and adjust pitch in semitone steps to match character or build a harmony.
5. Click Convert — a new folder is created containing your original and the converted version.
6. Repeat with different models or pitch settings to build comparisons or vocal-harmony stacks.

AI Auto-Mix & Mastering

Genre/instrument presets plus manual adjustment of presence, pan, reverb, target loudness, and ceiling, with reference-track-guided mastering available as an option. If you already have a full mastering chain and a documented loudness workflow, this feature's realistic role is a fast reference or second opinion — not a replacement step. It's genuinely useful for quick client previews, loudness-normalized rough drafts, or fast social-media deliverables where a full mastering pass would be overkill.

How Moises compares

vs. Logic's built-in Stem Splitter

Logic's Stem Splitter processes locally on Apple Silicon, requires no upload, and needs no subscription. Try it first for standard work — it's free, immediate, and keeps material local. Moises earns its place specifically for the finer breakdowns Logic doesn't offer (see the Separation page).

vs. LALAL.AI (Phoenix model)

Independent testing has found LALAL.AI's Phoenix model separates slightly cleaner on very dense or heavily AI-generated source material, with a somewhat wider raw stem-category list. Moises tends to preserve low-end detail better and offers a substantially more complete surrounding toolset — chord/key/tempo detection, generation, voice conversion, and DAW plugin integration — that LALAL.AI doesn't attempt to match.

vs. SUNO Studio

SUNO Studio is SUNO's own in-app production environment — it includes a stem splitter and enough of a mixing surface to take a track to a finished product without a DAW, with multitrack editing and stem-to-MIDI extraction reported on higher tiers. In other words, it overlaps parts of both Logic and Moises. This guide's workflow still routes finishing through Logic by preference, not necessity — treat SUNO Studio's deeper features as worth testing in your own account rather than taking on faith.

vs. Fender Studio Pro

Reported to offer deeper native DAW integration — generation, separation, and voice conversion inside the DAW itself rather than via round-trip. That integration is specific to Fender's own DAW environment; it's mainly useful context for why a Moises + Logic workflow will likely remain an export/import round trip rather than a fully native experience.

User feedback in the wild

App store review data (tens of thousands of reviews analyzed across sources) consistently shows a strong average rating, with praise for separation quality — including from working musicians using it live on stage for vocal removal. The pattern that emerges: the core separation/practice product performs well; the friction clusters elsewhere.