What Is LUFS?
LUFS measures perceived loudness over time. It helps explain why peak level alone does not tell you how loud a song will feel.
LUFS Measures Perceived Loudness
LUFS stands for Loudness Units relative to Full Scale. Integrated LUFS describes average perceived loudness across a complete track, while short-term and momentary readings show smaller windows. Peak meters answer a different question: how close the signal comes to the digital ceiling.
Why Streaming Normalization Matters
Many listening services can adjust playback gain to reduce large loudness jumps between songs. The behavior varies by service, listener setting, and playback context, so a published platform number should be treated as a playback reference rather than a pass-or-fail delivery rule.
Loudness Is Still a Creative Choice
Two masters at the same integrated LUFS can feel different because of transient shape, frequency balance, arrangement, and dynamic range. A louder number is not automatically a better master. The right result keeps the music's impact without unnecessary fatigue or distortion.
How MixMasterAI Uses Loudness
Choose one of 8 destinations and 3 loudness profiles, then process and A/B compare the result. You can make that comparison before joining; an active €4.99/month membership unlocks WAV and MP3 export.
FAQ
Common questions
Is -14 LUFS required for Spotify?
No. It is commonly referenced for Spotify's Normal playback setting, not an upload acceptance rule. Playback normalization can vary with user settings and product behavior.
What is the difference between LUFS and peak level?
LUFS estimates perceived loudness over time. Peak level measures the highest signal excursion. Both matter, but they describe different parts of the master.
What is true peak?
True peak estimates peaks that can occur between digital samples during conversion or encoding. Leaving suitable headroom can reduce the risk of playback distortion.
Does MixMasterAI force one loudness target?
No. The mastering flow offers 8 destination choices and 3 loudness profiles, followed by an Original/Mastered comparison.