AI Mastering Online — Free, No Signup, Spotify-Ready in 60s

The AI applies four processing stages: (1) ITU-R BS.1770-4 K-weighted loudness measurement to establish your starting LUFS; (2) genre-specific parametric EQ to balance the frequency spectrum; (3) VCA-style bus compression to control dynamics while preserving musicality; (4) true peak limiting to hit your target platform LUFS without clipping. The result is a master that sounds the same on laptop speakers, earbuds, and club systems.

Spotify targets -14 LUFS integrated with -1 dBTP true peak. Apple Music targets -16 LUFS with -1 dBTP. TikTok targets -14 LUFS. YouTube targets -14 LUFS. SoundCloud targets -11 LUFS. You can select your platform before mastering and the AI hits the exact specification for that platform.

For loudness targeting and technical compliance (LUFS, true peak, dynamic range), AI mastering online matches or exceeds what many human mastering engineers deliver for streaming. For highly nuanced artistic decisions — choosing which frequencies to emphasize, how much the track should breathe, what story the master should tell — a skilled human engineer working at full resolution with monitored playback is still superior. For AI-generated music, demos, and indie releases, online AI mastering is the practical standard.