Podcast loudness: what LUFS to target
The right integrated loudness for Apple Podcasts and Spotify, -16 LUFS integrated at -1 dBTP, why a mono file measures about 3 LU higher on the meter, and how to prepare the voice before you set the level.
By Hanna Eng·Audio engineer, Abbey Road Institute Paris
Target -16 LUFS integrated in stereo, the level Apple Podcasts recommends within a 1 dB tolerance, and -19 LUFS in mono, with a true peak of -1 dBTP to avoid distortion on encoding. Spotify normalizes to -14 LUFS and YouTube to about -14 LUFS (an observed, de-facto level), so a single -16 LUFS file behaves well across all of them.
Inconsistent loudness is the fastest way to lose a listener: one episode is fine, the next is too quiet, the ad is suddenly too loud. Platforms normalize playback to fix this, and matching their reference keeps speech clear and even. This guide gives the exact targets, the mono and stereo nuance most pages miss, and the order of operations that gets you there cleanly.
Podcast loudness targets by platform
| Platform | Integrated loudness | True peak |
|---|---|---|
| Apple Podcasts | -16 LUFS (plus or minus 1 dB) | -1 dBTP |
| Spotify | -14 LUFS | -1 dBTP (-2 if above -14 LUFS) |
| YouTube | About -14 LUFS (de-facto, not officially published) | -1 dBTP |
| Mono delivery | -19 LUFS | -1 dBTP |
| Amazon Music | -14 LUFS | -1 dBTP |
Source: Apple Podcasts for Creators (Audio requirements), Spotify (Loudness normalization)
What loudness should a podcast target?
Target -16 LUFS integrated in stereo (the level Apple Podcasts recommends, within a 1 dB tolerance) and -19 LUFS in mono, with a true peak of -1 dBTP to avoid distortion when the file is encoded. Spotify normalizes to -14 LUFS, and YouTube to about -14 LUFS (an observed, de-facto level rather than an officially published figure). A single file at -16 LUFS and -1 dBTP behaves well across all of them.
What is LUFS, and how is it different from dB?
LUFS (Loudness Units Full Scale) measures perceived loudness over time, weighted for how the ear responds (K-weighting, defined by ITU-R BS.1770). Unlike a peak meter in dB, it reflects how loud something actually sounds. LKFS is the exact same measurement under the name used in North American broadcast.
- Integrated: the average loudness over the whole episode. This is the number platforms normalize to.
- Short-term: loudness over a rolling 3-second window.
- Momentary: loudness over a 400-millisecond window.
Per-platform targets (Apple, Spotify, YouTube)
Each platform publishes a reference, and a single well-leveled file covers them all. Master once to -16 LUFS rather than chasing every target separately.
- Apple Podcasts: -16 LUFS (LKFS), tolerance plus or minus 1 dB, true peak -1 dBTP.
- Spotify: -14 LUFS integrated.
- YouTube: about -14 LUFS integrated (an observed, de-facto playback level; YouTube does not officially publish a figure).
- Broadcast reference for context: -23 LUFS in Europe (EBU R128), -24 LKFS in the US (ATSC A/85).
- Commonly cited acceptable range: -14 to -18 LUFS.
Mono or stereo: -16 or -19 LUFS?
Export at -16 LUFS in stereo and -19 LUFS in mono. The 3 LU gap exists because a dual-mono file measures about 3 LU higher: the loudness meter sums the two identical, fully correlated channels before computing loudness, so the number is set by the meter's channel-summing convention, not by room acoustics. Delivering a mono file at -16 LUFS would make it noticeably too loud next to a stereo episode.
True peak: why -1 dBTP
True peak measures the real peaks reconstructed after digital-to-analog conversion, including inter-sample peaks a normal meter misses. Capping at -1 dBTP leaves the margin that prevents clipping during MP3 or AAC encoding. Apple asks for -1 dBTP or lower; Spotify recommends -1 dBTP, or -2 if the master exceeds -14 LUFS.
Loudness normalization vs peak normalization
Peak normalization sets the loudest sample to a value (often 0 or -1 dB) and does nothing for perceived volume. Loudness normalization adjusts gain to reach a LUFS target, which is the method platforms use and the most reliable way to keep volume consistent from one episode to the next. Setting a -0 dB peak does not fix loudness.
Prepare the voice before you set the loudness
Set loudness last. First clean the recording (noise and click removal in iZotope RX), correct the tone with EQ, then compress to even out the dynamics of the voice. Normalizing a noisy signal only amplifies its faults. The LUFS target applies to the finished mix, not the raw track.
Remote recordings add a wrinkle: guests arrive at different levels and often through lossy connections. Level each speaker separately before the loudness pass, and use spectral repair (RX) to recover high frequencies lost to call compression rather than relying on loudness alone.
Delivery checklist
Before you publish, confirm the finished episode against the targets.
- Integrated loudness around -16 LUFS (stereo) or -19 LUFS (mono).
- True peak at -1 dBTP or lower.
- Voice cleaned, EQ'd and compressed before the loudness pass.
- Consistent level between hosts, guests and any ad or music beds.
- Exported once and checked against a reference episode.
How to check your loudness on a meter
You read loudness on a loudness meter, not a peak meter. Load the finished mix, set the meter to the broadcast standard (ITU-R BS.1770), and let it run from the first word to the last. The integrated value it reports at the end is the number platforms normalize to. Momentary and short-term readings move constantly; the integrated figure is the one to match to your target.
DaVinci Resolve has a built-in loudness meter on the Fairlight page that reports integrated LUFS and true peak across the whole timeline, so you can measure without leaving the session. When a host DAW has no native LUFS readout, a dedicated meter plugin does the job; common neutral options include the free Youlean Loudness Meter and NUGEN's VisLM.
- Set the meter to ITU-R BS.1770 / EBU R128 mode before measuring.
- Let the integrated reading run across the entire episode, not just a loud section.
- Watch true peak on the same meter so you catch inter-sample peaks above -1 dBTP.
Setting the level: a concrete leveling pass
Once the voice is clean, EQ'd and compressed, set the final level in three steps. This is a reliable way to land on a target without guessing.
Re-measure after every gain change: a limiter or a gain move shifts the integrated reading, so the figure you trust is the one you read on the final export, not the one you aimed for.
- Put a true-peak limiter last in the chain with its ceiling at -1 dBTP so nothing exceeds the encoding margin.
- Raise or lower the overall gain until the integrated reading sits at your target (-16 LUFS stereo, -19 LUFS mono).
- Re-measure the whole episode end to end and confirm both the integrated value and the true peak before you export.
Common loudness mistakes
Most loudness problems come from measuring the wrong thing or in the wrong order.
- Reading a peak meter (dBFS) and assuming it tells you loudness. It does not; only an integrated LUFS reading does.
- Measuring only a momentary or short-term value instead of the integrated value over the full episode.
- Pushing for a louder number than the target, which the platform simply turns back down while keeping the squashed dynamics.
- Setting the loudness before cleaning, EQ and compression, so faults get amplified into the target.
- Forgetting the true-peak ceiling, so inter-sample peaks clip during MP3 or AAC encoding.
Frequently asked questions
What LUFS should my podcast be?
Aim for -16 LUFS integrated in stereo, the level Apple Podcasts recommends within a 1 dB tolerance, and -19 LUFS in mono, with a true peak of -1 dBTP. A single file at -16 LUFS works well across Apple, Spotify and YouTube.
Is -16 or -14 LUFS better for podcasts?
Master to -16 LUFS. It sits inside Apple's tolerance and works everywhere; Spotify normalizes to -14 LUFS and YouTube to about -14 LUFS (an observed, de-facto level, not an official YouTube figure), and they will simply adjust your file. Producing one -16 LUFS master is more reliable than chasing each platform separately.
What LUFS should a mono podcast be?
-19 LUFS. A dual-mono file measures about 3 LU higher because the loudness meter sums the two identical channels before computing loudness, so a mono episode is delivered about 3 LU lower to match a -16 LUFS stereo episode.
Why does my podcast sound too loud or too quiet on Spotify?
Spotify normalizes playback to -14 LUFS. If your file is much louder it gets turned down, and if it is far quieter it may be raised within the true-peak limit. Mastering close to the target keeps you in control of how it sounds.
What is the difference between peak and loudness normalization?
Peak normalization sets the loudest sample to a fixed value and leaves perceived volume untouched. Loudness normalization adjusts gain to hit a LUFS target. Only loudness normalization produces consistent volume between episodes, which is what platforms apply.
How do I check the loudness of my podcast?
Use a loudness meter, not a peak meter. Set it to the ITU-R BS.1770 standard, let it run across the whole episode, and read the integrated value at the end; that is the number platforms normalize to. DaVinci Resolve has a built-in loudness meter, and common neutral plugin options include the free Youlean Loudness Meter or NUGEN's VisLM.
What is the difference between normalization and compression?
Compression reduces the dynamic range inside the track, evening out loud and quiet moments as you mix. Loudness normalization is a single gain move applied to the finished file to reach a LUFS target, and it does not change the dynamics. You compress while mixing the voice, then normalize the loudness last; one shapes the sound, the other just sets the final level.
Sources and references
- Apple Podcasts for Creators, Audio requirements (official)
- Spotify, Loudness normalization (official)
- ITU-R BS.1770 (loudness measurement standard)
- Podnews, LUFS and LKFS for podcasters
- Production Advice, Amazon Music loudness normalization (-14 LUFS reference)
- Youlean Loudness Meter (free LUFS meter, neutral example)
- NUGEN Audio Loudness Toolkit / VisLM (LUFS metering, neutral example)