Free Audio Normalizer

Free LUFS Audio Normalizer

Normalize audio to the exact loudness Spotify, Apple Music, YouTube, podcast apps, and broadcasters expect — or peak-normalize to a target dBFS. ITU-R BS.1770-4 measurement runs entirely in your browser. Nothing is uploaded.

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Drop audio file here

or click to browse — measured & normalized in your browser, never uploaded

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Your file is never uploaded. LUFS measurement and gain application happen in your browser — nothing is sent to a server. Privacy policy.

Integrated loudness
Peak (sample)
-14.0 LUFS
Recommended for streaming & podcasts.
Output will be:
 
gain to apply
WAV preserves your normalization exactly; re-encoding to MP3 again can shift LUFS slightly.

Normalize audio to Spotify, Apple Music, YouTube, podcast & broadcast loudness — free, private, no sign-up

SnipSound's normalizer measures your audio's integrated loudness using ITU-R BS.1770-4 K-weighting (the same standard Spotify and broadcasters use), then applies the gain needed to land on your target. Pick a platform preset for streaming, podcast, or broadcast delivery — or switch to peak mode to normalize by sample peak instead. Everything runs in your browser; nothing is uploaded.

Which LUFS target should I use?

It depends on where the audio is going. Streaming platforms apply loudness normalization on playback — if you master louder than their target, they turn you down. Mastering exactly to the target means your audio plays at the level you intended.

🟢 Spotify -14 LUFS
Default normalization. Louder masters get turned down. Their "Loud" mode is -11; "Quiet" mode is -19.
🎵 Apple Music -16 LUFS
"Sound Check" normalization. Slightly quieter than Spotify; usually means less dynamic compression on the master.
▶️ YouTube -14 LUFS
Same target as Spotify. Music videos and uploads above this are quietened on playback.
🔵 Tidal -14 LUFS
Matches Spotify / YouTube. Premium HiFi delivery doesn't change the loudness target.
🟣 Amazon Music -14 LUFS
Aligned with industry standard for streaming.
🎙 Podcast (Apple / Spotify) -16 LUFS
AES standard. Some show producers prefer -18 to -20 for conversational podcasts with wide dynamics.
📺 Broadcast (EBU R128) -23 LUFS
European broadcast standard. ATSC A/85 (North American TV) is -24 LKFS — same scale, 1 LU quieter.
📱 TikTok / Instagram -14 LUFS
Approximate. Both platforms apply loudness normalization but don't publish the exact target. -14 is a safe baseline.

LUFS vs peak normalization — when to use which

LUFS normalization measures perceived loudness across the whole file. A quiet acoustic guitar piece and a loud rock mix end up sounding equally loud after normalization to -14 LUFS. This is what you want for music, podcasts, voice-overs — anything that gets played alongside other content where consistent loudness matters.

Peak normalization brings the single loudest sample to a target level (e.g. -1 dBFS). It preserves the original dynamic range exactly — a quiet song stays quiet, a loud song stays loud, you're just guaranteeing nothing exceeds your target peak. Use this for sound effects, short clips, or when you want to avoid clipping without affecting perceived loudness.

What gets shown after upload

Why use SnipSound's normalizer

Related tools

LUFS audio normalizer FAQ

What's LUFS and why does my podcast or music need it?
LUFS (Loudness Units relative to Full Scale) is the standard loudness measurement adopted by streaming platforms, broadcasters, and podcast apps. Spotify, YouTube, Apple Music, and Tidal all play back at a target LUFS — if your master is louder, they turn it down; if quieter, some platforms turn it up. Mastering to the right LUFS means your audio plays back at the intended level instead of being squashed by platform loudness normalization.
What's the LUFS target for Spotify?
Spotify normalizes to -14 LUFS by default. Anything louder than -14 gets turned down on playback. Spotify also has a -19 "Quiet" mode and a -11 "Loud" mode in user settings, but -14 is the assumption you should master to.
What's the difference between LUFS and peak normalization?
Peak normalization brings the loudest sample to a target level (e.g. -1 dBFS). It's quick but ignores how loud the audio actually sounds — a quiet song with a single loud transient will be barely turned up, while a dense mix gets full volume. LUFS measures perceived loudness over the whole file using a K-weighted filter that mimics human hearing, so a quiet ballad and a loud rock track end up sounding equally loud after normalization. Use LUFS for music and podcasts. Use peak normalization for sound effects or short clips where transient detail matters.
Is the measurement ITU-R BS.1770-4 compliant?
Yes. SnipSound applies a K-weighting filter (high-shelf + high-pass per the spec) to each channel, computes mean-square loudness in 400 ms blocks with 75% overlap, then applies the absolute (-70 LUFS) and relative (-10 LU) gates per the standard to compute integrated loudness. Stereo channels sum at weight 1.0 each; this matches EBU R128 / ITU-R BS.1770-4.
What happens if normalizing to my target would clip?
Some sources are quieter than the target (a -26 LUFS recording aiming at -14 LUFS needs +12 dB of gain — that almost certainly clips). By default we cap the gain so the file's peak stays at or below -1 dBFS and warn that the LUFS target wasn't reached. You can disable the cap if you want to apply the full requested gain and clip the result intentionally.
Is my file uploaded to a server?
No. All measurement and gain application happens in your browser using the Web Audio API. Your audio never leaves your device.
What input formats are supported?
Any audio format your browser can decode — MP3, WAV, OGG, FLAC, AAC, M4A. Output formats include MP3 (320, 256, 192, 128 kbps), WAV, FLAC, OGG, AAC and M4A.