# Best Free Mastering for AI-Generated Music > What actually matters when picking a mastering approach for AI-generated tracks: handling the mud and harshness these exports commonly have, not just adding loudness. [All guides](/blog) # Best Free Mastering for AI-Generated Music Published 4 September 2026, 16:00 UTC · updated 31 August 2026, 13:05 UTC · by Loopin AI-generated exports have specific, predictable issues — low-mid buildup, top-end harshness, quiet raw loudness. The right mastering approach handles those three things well, not just loudness alone. ## Look for EQ correction, not just a limiter A tool or process that only applies loudness and a generic tonal curve won't fix the 250–500 Hz buildup or 4–7 kHz harshness that AI exports commonly carry — it'll just make those issues louder and more audible. Whatever you use, make sure it's actually addressing tone, not only level. This is the single biggest differentiator between a mastering pass that genuinely improves an AI export and one that just makes it louder without making it better. ## Genre-aware presets help more here than usual Because AI-generated tracks span every genre with the same underlying generation process, a preset built for the style you're targeting — more low-end restraint for a ballad, more aggressive loudness for EDM — gets you closer faster than a single one-size-fits-all setting. If you're unsure which preset fits, start with whichever genre your track's tempo and instrumentation most resembles, then adjust from there rather than starting from a completely neutral setting. ## Check what happens to stereo width Some AI exports come out unusually wide, and a mastering process that doesn't check mono compatibility can leave you with a track that thins out on a single Bluetooth speaker. Confirm whatever approach you use either checks this automatically or gives you an easy way to verify it yourself. This matters more for AI-generated tracks than typical human productions, since stereo imaging quirks show up more often in generated exports. ## Loudness target should match streaming, not maximize volume −14 LUFS integrated with a −1 dBTP ceiling is the practical target for streaming release. A process that just pushes loudness as high as possible without regard for that target will leave you re-mastering later once you notice it doesn't match what platforms expect. Anything claiming to make your track "as loud as possible" without mentioning a specific target is worth being skeptical of — maximum loudness and correct loudness aren't the same goal. ## Test the result against a real reference track Whatever mastering approach you use, the actual test is a level-matched comparison against a released track in a similar style. If your AI-generated export holds up in clarity and balance next to that reference, the mastering did its job — regardless of which specific tool or process got you there. That comparison matters more than any spec sheet or feature list, since it's the same test a listener is effectively running when your track plays next to others on a playlist. ## Frequently asked questions ### What should mastering for AI-generated music actually fix? Low-mid buildup around 250-500 Hz, top-end harshness around 4-7 kHz, and raw loudness that's typically quieter than streaming targets. A process that only adds loudness without addressing tone won't fix the real issues. ### Do AI-generated songs need genre-specific mastering presets? It helps. Because generation spans every genre with the same underlying process, a preset matched to your track's style -- more restraint for a ballad, more loudness for EDM -- gets closer results faster than one generic setting. ### What LUFS should AI-generated music be mastered to? Around -14 LUFS integrated with a -1 dBTP true-peak ceiling for streaming release. Be skeptical of anything promising maximum loudness without reference to a specific target -- louder isn't the same as correctly mastered. ## Related reads - [Master your track free](/mastering) - [How to master a Suno song](/blog/how-to-master-a-suno-song) - [How to master an Udio track](/blog/how-to-master-an-udio-track) --- Source: https://onloopin.com/blog/best-mastering-for-ai-generated-music