Volume Normalizer

Normalize loudness to a target LUFS — for streaming, podcasts, or broadcast.

Drop Audio File Here

MP3, WAV, FLAC, OGG

What Is LUFS Normalization?

LUFS (Loudness Units relative to Full Scale) is the standard way to measure perceived loudness. Streaming platforms like Spotify, Apple Music, and YouTube normalize uploads to a target level — if your track is too quiet or too loud, their algorithm adjusts it. Normalizing before upload gives you control over how your audio sounds instead of leaving it to the platform.

Normalize Podcast Episodes for Consistent Volume

Podcast listeners hate reaching for the volume knob between episodes. Normalizing all episodes to -16 LUFS keeps every episode at a consistent loudness so subscribers can listen hands-free in the car, at the gym, or on a walk.

Match Loudness Across Tracks Before Mastering

When assembling an album, EP, or mixtape, tracks recorded at different levels sound disjointed. Normalize each stem or bounce to the same target before final mastering to get a coherent listening experience.

Instant Processing
No server upload. Loudness is measured and gain applied locally using WebAssembly — results in seconds.
100% Private
Your audio never leaves your device. Nothing is uploaded to any server.
Works on Any Device
Desktop, tablet, phone, or Chromebook. Normalize audio wherever you have a browser.

Frequently Asked Questions

Spotify normalizes to -14 LUFS. If your track is louder, Spotify turns it down. If it's quieter, Spotify turns it up — but that can reveal noise floor. Normalizing to -14 LUFS before upload gives you the most control.

Most podcast platforms recommend -16 LUFS (Apple Podcasts, Spotify for Podcasters). This is slightly quieter than music targets because speech has less dynamic range and listeners often use earbuds in noisy environments.

No. The normalizer measures your audio's integrated loudness, then applies a single gain value to the entire file. If the calculated gain would cause any sample to exceed 0 dBFS (clipping), the gain is automatically reduced to prevent distortion.

Peak normalization sets the loudest sample to 0 dB — it doesn't account for perceived loudness. Two files peak-normalized to the same level can sound very different in volume. LUFS normalization targets perceived loudness, which is what listeners actually experience.

No. The entire process runs locally in your browser using WebAssembly. You can verify this by opening the browser's Network tab — nothing outbound.