What is LUFS,
and which target should I use?

A plain-English guide to loudness: what the number means, why platforms turn tracks down, and what to aim for.

LUFS in one paragraph

LUFS stands for Loudness Units relative to Full Scale. It's a measurement of how loud audio sounds to people, not how high its peaks go. Two tracks can both peak at 0 dBFS while one sounds twice as loud; their LUFS readings will show the difference. One LU is the same size as one dB, so a track at −10 LUFS is 4 dB louder than one at −14 LUFS.

How it's measured

The method comes from ITU-R BS.1770, with gating rules from EBU R128:

  • K-weighting. The audio passes through a filter that cuts deep bass and lifts the upper mids a little, roughly matching the ear's sensitivity.
  • Blocks. Loudness is measured in 400 ms blocks that overlap, starting every 100 ms.
  • Gating. Blocks quieter than −70 LUFS are ignored, then blocks more than 10 LU below the average of what's left. That stops silence and quiet intros from dragging the figure down.
  • Integrated loudness is the average of the blocks that pass. It's the one number platforms normalise to.

You'll also see short-term loudness (3-second windows), momentary loudness (400 ms), loudness range or LRA (how much the short-term level moves, in LU) and true peak in dBTP, which estimates the peaks between samples that appear once the audio is converted back to analogue or encoded to MP3 or AAC.

Why platforms turn your track down

Streaming services adjust playback volume so that a quiet folk song and a slammed EDM master sit at the same level. Spotify, for example, adjusts tracks to −14 LUFS by default. A master at −8 LUFS gets turned down by 6 dB, and a master at −20 LUFS gets turned up only as far as its peaks allow. The result: pushing a master louder than the target doesn't make it louder for listeners; it just costs dynamics and adds the risk of distortion.

Which target should I use?

DestinationIntegratedTrue peakSource
Spotify−14 LUFS (Normal). Premium listeners can pick Loud −11 or Quiet −19.Below −1 dBTP; below −2 dBTP if louder than −14 LUFSSpotify for Artists
Podcasts (Apple)About −16 LUFS ±1−1 dBTP maxApple Podcasts for Creators
European broadcast−23 LUFS−1 dBTP maxEBU R128
US broadcast−24 LKFS−2 dBTPATSC A/85

YouTube, Apple Music, Tidal and Amazon also normalise, but don't all publish an exact target; engineers' measurements generally put them between about −14 and −16 LUFS. If you deliver one master everywhere, around −14 LUFS with true peak at −1 dBTP is a safe middle ground for music.

Practical advice

  • Music: master for how it sounds, then check. Between −14 and −9 LUFS is normal for modern pop and dance; just keep true peak at −1 dBTP or lower so lossy encoding doesn't clip.
  • Podcasts and voice: aim for −16 LUFS. Speech at −14 or louder is tiring to listen to.
  • Broadcast and film: follow the delivery spec exactly; −23 or −24 is a requirement, not a suggestion.
  • Comparing mixes: always compare at matched loudness. Louder almost always sounds "better" for a few seconds.

Measure your own file

WAVR's loudness meter reports integrated, short-term and momentary loudness, LRA and true peak, and tells you how many dB to add or remove to hit each target. It runs in your browser, so unreleased masters aren't uploaded. In the editor, the A/B preview with Match loudness lets you compare versions at the same LUFS.

LUFS questions

What LUFS should I master to for Spotify?

Spotify normalises to −14 LUFS integrated and recommends keeping true peak below −1 dBTP, or below −2 dBTP if the master is louder than −14 LUFS.

What LUFS should a podcast be?

Apple recommends about −16 LUFS (LKFS) with a 1 dB tolerance, and true peak no higher than −1 dBFS.

Is LUFS the same as LKFS?

Yes. LKFS is the name used in ITU and US broadcast documents, LUFS is the EBU name. One LU equals one dB.

Why do two meters give slightly different numbers?

Integrated loudness should match closely between meters that follow BS.1770. True peak and LRA can differ by a few tenths because the standard allows different oversampling filters and rounding.

Related