Podcast loudness standards: LUFS, peaks and platform targets explained

There is no single number every podcast platform demands. There are official recommendations, common practice, and playback behaviour, and it helps to know which is which.

By Oscar Losseff · Updated 23 September 2026 · 7 min read

There is no single universal podcast loudness rule

Search for a podcast loudness standard and you will be handed one number with great confidence. The reality is messier. Some platforms publish recommendations, some normalise playback without publishing a target, some do very little, and listening apps add their own behaviour on top. Nobody enforces a single figure across the industry.

That is not a reason to ignore loudness. It is a reason to aim for a sensible spoken-word level with real peak headroom, which behaves well everywhere, rather than tuning an episode to one app's number.

What LUFS measures

LUFS is a measure of perceived loudness averaged over the whole programme, which is why it is usually quoted as "integrated" loudness. Unlike a peak reading, it reflects how loud something actually sounds to a listener across an entire episode rather than at one instant. Lower numbers are quieter, and because the scale is negative, -20 LUFS is quieter than -16 LUFS.

If the difference between the three numbers on your meter is still fuzzy, RMS, LUFS and peak explained covers what each one is for.

Apple Podcasts loudness guidance

Apple is the clearest of the major platforms. Its creator documentation recommends overall loudness of approximately -16 dB LKFS, within about a decibel either way, and true peaks no higher than -1 dBFS. LKFS and LUFS are the same measurement under two names.

You can read it directly in Apple's audio requirements. Treat it as Apple's recommendation, not as a rule every other platform has agreed to.

Mono and stereo podcast workflows

You will often see -16 LUFS quoted for stereo and -19 LUFS for mono. That pairing is common podcasting practice rather than a formal, universally published requirement, and it exists because a mono file played through two speakers sounds louder than the same measured level in stereo. It is a reasonable convention to follow if you publish mono, which many talk-only shows do because the files are smaller and nothing is lost.

What happens when audio is too loud or too quiet

Where an app normalises playback, an episode mastered much louder than its target simply gets turned down again. You do not gain loudness; you keep whatever damage the heavy limiting did to the dynamics on the way. Where an app does not normalise, a very loud episode is fatiguing and a very quiet one gets lost against road noise and headphones on public transport.

Inconsistency is worse than either. A listener who never touches the volume dial across ten episodes is having a good experience without knowing it. How loudness normalisation works goes further into what it can and cannot fix.

Why loudness alone does not make a podcast sound professional

Loudness is the last step, not the whole job. An episode can measure perfectly and still sound amateur because of:

  • background noise and hiss sitting under every word
  • wild dynamics, where a laugh is ten times louder than an aside
  • speakers at noticeably different levels
  • tonal imbalance, one voice boomy and another thin
  • clipping baked in at the recording stage, which no mastering can undo
  • obvious room sound and reverb

How to make a podcast sound professional works through those in order.

How Optivox handles podcast loudness

Optivox measures the episode, cleans it up, balances the speakers and normalises the whole programme to a spoken-word target with true peak headroom kept in reserve, so the file behaves sensibly whichever app plays it. There is no meter to read and no limiter to set up. Details on podcast mastering.

About the author

Oscar Losseff works with spoken-word audio and built Optivox to automate the repetitive technical cleanup and mastering while leaving editorial decisions to the person who made the recording. More about Optivox

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