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FAQ

How LUFster measures your mix — loudness, stereo, spectrum, energy — and how to read the numbers.

What does LUFster measure?

LUFster runs four analyses on a track, all in the browser:

  • Loudness — integrated LUFS, true peak, loudness range, short-term max, peak-to-loudness ratio.
  • Spectral balance— energy per frequency band and the spectral centroid (the “center of gravity” of the spectrum).
  • Stereo width — width across the frequency spectrum and mono correlation, which tells you whether the mix collapses cleanly to mono.
  • Energy timeline — how loud and how bright the track is across time.

What is LUFS and why is it important?

LUFS (Loudness Units Full Scale) is the standard measurement for audio loudness used across broadcast and streaming platforms. Unlike peak measurements, LUFS accounts for human perception of loudness by applying psychoacoustic weighting.

It’s the unit streaming services use to normalize playback, and the reason a quiet track and a brick-walled track can sit at the same perceived level on Spotify.

What is EBU R128?

EBU R128 is the European Broadcasting Union recommendation for loudness measurement. It builds on the ITU-R BS.1770 loudness algorithm and specifies how to measure integrated loudness, loudness range, and true peak. LUFster implements this standard.

What are the common loudness targets?

Streaming:

  • Spotify: -14 LUFS integrated
  • Apple Music: -16 LUFS integrated
  • YouTube: -14 LUFS integrated
  • Amazon Music: -14 LUFS integrated

Broadcast:

  • TV/Radio (EBU R128): -23 LUFS integrated

Other:

  • Club/DJ: -9 to -13 LUFS (louder for club systems)
  • Podcast: -16 to -20 LUFS

Integrated, short-term, momentary — what’s the difference?

  • Integrated: Average over the whole track. The number streaming platforms use.
  • Short-term: 3-second sliding window. Useful for finding the loudest section.
  • Momentary: 400ms sliding window. Catches very short-term spikes.

What is true peak and why should I care?

True peak measures the maximum sample value including inter-sample peaks that can appear during digital-to-analog conversion. Keep it below 0 dBFS (preferably -1 dBFS) to avoid distortion on consumer playback. A track can read 0 dBFS digitally and still go over true peak.

What is loudness range (LRA)?

LRA measures dynamic variation, in LU. Heavily compressed music often sits around 3–7 LU; more dynamic material reaches 15+ LU. A low LRA isn’t inherently bad — it’s a signal about how the track will translate at different playback levels.

What does mono correlation tell me?

Mono correlation runs from -1 to +1.

  • +1 — fully mono. Identical signals in both channels.
  • ~+0.5 to +1 — mono-safe. Collapses cleanly to a single speaker.
  • 0 — fully uncorrelated channels. Maximum width.
  • Below 0 — channels partially out of phase. Parts of the mix may disappear on mono playback (clubs, phones, some smart speakers).

What is the spectral centroid?

The spectral centroid is the energy-weighted average frequency — roughly, the “center of gravity” of your spectrum. Tracks with a lot of high-end (sibilance, cymbals, bright synths) have a higher centroid; bass-heavy or dark tracks have a lower one. It’s a quick one-number summary of tonal balance.

How accurate is browser-based analysis?

LUFster uses the same algorithms as professional loudness meters. The biggest accuracy factor is the audio you give it — lossless formats (WAV, AIFF, FLAC) produce the most reliable measurements. MP3s and AACs still work but may diverge slightly from the source due to compression artifacts.

Do my files leave my computer?

No. All processing happens locally via Web Audio API and FFmpeg WebAssembly. Nothing uploads. The page even works offline once it has loaded.

What audio formats are supported?

WAV, AIFF, MP3, M4A, and FLAC. Use uncompressed formats for the most accurate measurements.

Can I use this for mastering?

Yes — for spot-checks against loudness targets and for sanity-checking stereo width, tonal balance, and dynamics. LUFster is a measurement tool, not a replacement for listening on real systems. Streaming platforms normalize anyway, so chasing the loudest possible master is usually counterproductive.
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