Beyond Suno: How to Mix and Master Songs from Any AI Music Generator

New AI music generators launch often enough that a platform-by-platform guide goes stale fast. What doesn't change as quickly is what you actually get out of any of them, and the two honest paths from there into a finished, release-ready track.

We won't guess at features of platforms we haven't verified directly — export options, stem counts and pricing tiers on tools like Udio, AIVA, Boomy or newer entrants change frequently, and some of what circulates online about them is inconsistent or unverified. What's reliably true across all of them is simpler: every one of these tools eventually gives you either one mixed audio file, or separated stems, and that single fact decides your next step.

Path one: you have one finished file

If your export is a single mixed stereo file — which is still the default output for most AI generators, and the only option on several — your available lever is mastering: tonal balance, dynamics, peak control and a loudness target appropriate for streaming. You cannot isolate the vocal from the instrumental at this stage; whatever balance the generator produced is what you're working with.

• Check the file for clipping or distortion before anything else — a track that's already been pushed too loud by the generator gives mastering much less room to work with.
• Aim for a controlled, realistic loudness target (around −14 LUFS integrated is a reasonable streaming baseline) rather than pushing for maximum loudness, which tends to expose whatever artifacts the generation process introduced.
• Compare the mastered result against the original at matched volume — if the improvement doesn't survive a fair A/B, the master needs another pass, not more loudness.

Path two: you have separated stems

If the platform (or a separate stem-splitting tool) gave you individual tracks — vocals, drums, bass, instruments — you have real mixing decisions available: balance, EQ and dynamics per element, not just on the whole.

• Start with whichever stems sound driest and least processed as your reference point for how close the mix should feel.
• Check phase and timing alignment on import; stems that were separated algorithmically (rather than recorded as multitrack) can carry small timing artifacts worth checking on a shared transient across two or three tracks.
• Treat any uniform, low-level ambience you hear across every stem as a generation artifact to manage with EQ and dynamics, not something to chase with more effects.

Where MixingMusic fits, regardless of which platform you used

Whichever AI generator produced your song, the decision tree is the same: mixing from stems if you have them — MixingMusic works with up to 12 — or mastering the finished file if you don't. This is a file-based workflow for every platform: you export from wherever your song was generated and upload the result here. No AI music generator has a direct account integration with MixingMusic, by design — you stay in control of exactly what you upload and when.

If your generator happens to be Suno, we cover its specific export options in more depth in mixing and mastering Suno songs and in Suno Studio's stem export workflow.