How to Master an AI Song for Spotify and Streaming

A generated song can sound good on its own and still feel small, dull or harsh next to other songs on a playlist. Mastering is the step that closes that gap.

What mastering fixes in AI songs

• Tonal balance: too much low-mid "fog", too little air, or harsh upper mids.
• Dynamics: a chorus that does not lift, or a song that is flat from start to end.
• Loudness: a level that is much lower or higher than comparable releases.
• Peaks: overs that can distort after streaming conversion.

Sensible loudness targets

Streaming services normalize playback, so louder is not better. A practical target for most genres is an integrated loudness around -14 LUFS with a true peak below -1 dBTP. Dense genres (reggaeton, EDM, trap) are often mastered louder; if you go louder, check that the chorus does not lose punch.

Mix first if needed

If the vocal is buried or the low end is boomy, mastering can only partly fix it. Use the stems to correct the balance, then master the mix.

Quick checklist before release

• Listen to the master next to two reference songs in the same genre, at matched volume.
• Check the start and end: no clicks, no abrupt cut.
• Listen on headphones, a phone and a car or speaker.
• Export a WAV for distribution and an MP3 for sharing.

In MixingMusic you can master the stereo song directly or the mix you made from its stems, with presets by genre and meters for LUFS and peaks.

Try it in MixingMusic

Create your song with the Suno V6 engine: 1 free song up to 2:30 with its stems, two versions of every song, and mixing and mastering in the same account. Songs and recordings are kept for 30 days and stems for 7 days, so download what you want to keep.

MixingMusic.AI uses the Suno V6 model through KIE.ai. MixingMusic.AI is not affiliated with or endorsed by Suno; Suno is a trademark of its owner.