normalize podcast volume online
This tool's Podcast preset targets -16 integrated LUFS with a -1dBTP true-peak ceiling, the same value Apple Podcasts recommends. Unlike a normalization that only looks at sample peak, the LUFS measurement here runs the full ITU-R BS.1770-4 algorithm (the standard behind EBU R128), with a perceptual weighting filter and two stages of silence gating, not an RMS approximation.
The gain is always target minus measured: -16 minus -20 gives exactly +4dB, no trial and error needed.
Broadcast asks for a much lower loudness ceiling than streaming, it is the only one of the targets that exists as a regulatory requirement, not a platform recommendation.
This is exactly the scenario this tool's limiter prevents, by measuring the inter-sample peak instead of trusting only the value stored in each sample.
Peak normalization increases or reduces the overall gain of an audio file so that the maximum peak amplitude reaches a defined target level, usually -1 dBFS to avoid clipping on playback systems. It is the simplest and most direct normalization method.
No. It is the full ITU-R BS.1770-4 algorithm, with a 2-stage K-weighting filter, 400ms blocks at 75% overlap, and two gating stages (absolute at -70 LUFS, relative 10 LU below the mean), the same technical standard behind the EBU R128 used in professional broadcast.
-16 integrated LUFS is the convention Apple Podcasts recommends and that this tool's Podcast preset uses, with a -1dBTP true-peak ceiling. Spotify and YouTube follow -14 LUFS for general content. Only use -23 LUFS (EBU R128) if delivering for radio or TV broadcast under that specific contractual requirement.
Because sample peak is not the signal's real peak. A file whose samples never exceed -0.1dBFS can still reconstruct above 0dBTP by up to 2dB between two samples, on the listener's DAC or in an MP3 encoder. This tool's limiter detects that inter-sample peak with a 5ms lookahead window and confirms the result with 4x oversampling before exporting.
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