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Measure your mix, then apply the gain to hit −16 LUFS

Drop an episode or a master, read integrated LUFS and true peak, then apply one clean gain change to the target — the file exports as WAV and the true peak never goes over the ceiling. Nothing uploaded.

Free · no account · runs in your browser — nothing is uploaded; your audio never leaves your device.

Drop a master or an episode, or tap to browse
WAV, MP3, M4A, FLAC · measured locally with ITU BS.1770-4
Targets move. Check your platform's current spec

Levels are the checklist. The music bed is the craft.

PodDJ in the studio builds the whole sound of your show — beat-aligned music sections, ducking under your voice, broadcast loudness on export. Sign up: 3 full packs free.

Why every platform measures LUFS, not peaks

Loudness normalization ended the loudness war: platforms measure how loud your audio feels (LUFS, gated per ITU BS.1770) and turn everything to the same shelf. Master hotter than the shelf and they simply turn you down — you paid in crushed dynamics and got nothing. Deliver on target with true peak under −1 dBTP and your episode sounds exactly as you mixed it, everywhere.

The meter only prints a number it can defend. Integrated loudness is built from gated 400 ms blocks, and three of those need only about 0.6 s, so a file under one second cannot support a reading at all — we keep a deliberate margin above that minimum rather than measuring on the edge of it. Silence has nothing above the −70 LUFS absolute gate, and a source that is already clipped still gets measured — but its true peak is reported as a floor, because the tops of those waveforms are gone. Changing the level is one gain multiplication: no limiter, no compression, no fades, and never a sample count change.

How to check the LUFS of a song or podcast

  1. Load the fileDrop a master or an episode on the meter. It stays on your device.
  2. Read the numbersSee integrated loudness (LUFS), true peak and the loudest moment for the whole file.
  3. Pick a platformChoose Spotify, Apple Music, YouTube, a podcast target or another destination. The verdict says what that platform does to your file; the table below shows all of them. Targets move, so check your platform's current spec.
  4. Normalize or comparePress Normalize to target for a WAV at that loudness, with true peak kept under the ceiling. Or drop a reference track to see how far apart you are.

Frequently asked questions

What LUFS should I master to for Spotify?

Spotify's reference is about −14 LUFS integrated with true peak at or below −1 dBTP. Spotify turns louder files down to that level, so a −8 LUFS master plays at the same loudness as a −14 one, with less dynamic range. The meter shows exactly how many dB Spotify will turn your file down or up.

How do I check the LUFS of a song?

Drop the file on the meter. It reads integrated loudness the way platforms do (ITU BS.1770-4, K-weighted and gated), plus true peak and the loudest moment. Then pick a platform from the list to see the verdict, or read the table that shows what every platform does to your file.

What LUFS should my podcast be?

−16 LUFS integrated is the widely used spoken-word target (Apple's guidance sits there), and −14 is common for music-heavy shows and streaming platforms. These are conventions, not laws — the targets here are editable, and your distributor's current spec wins.

What's the difference between LUFS and peak level?

Peak is the tallest single sample; LUFS is perceived loudness over time, gated the way ITU BS.1770 specifies — which is how every platform actually measures. A file can peak at −1 dB and still be whisper-quiet in LUFS. You need both numbers: LUFS on target, true peak under −1 dBTP.

What does the normalize button do exactly?

It applies one clean gain change so your integrated LUFS lands on the target — no compression, no limiting, character untouched. If that gain would push the true peak over −1 dBTP, the tool tells you instead of quietly clipping.

Why does true peak matter if I'm under 0 dB?

Lossy encoders (MP3, AAC) can overshoot between samples — a file that peaks at −0.1 dBFS can clip after encoding. That's why platforms ask for −1 dBTP headroom, measured with oversampling, which is what this meter does.