Podcast episode
Input: M4A recording at average -22 LUFS
Output: M4A at exactly -16 LUFS, peak ≤ -1.5 dBTP — Apple Podcasts ready
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Normalize loudness of MP3, WAV, M4A, OGG and FLAC files using ffmpeg loudnorm (EBU R128). Hit Spotify, podcast or broadcast targets — runs locally via ffmpeg.wasm.
Audio Loudness Normalizer applies EBU R128 / LUFS loudness normalization to any audio file using ffmpeg's loudnorm filter. Drop in an MP3, WAV, M4A, OGG or FLAC, pick a target loudness (Spotify -14, Apple/podcast -16, audiobook -18, EBU broadcast -23), set a true-peak ceiling, choose an output format, and download the normalized file. The whole pipeline runs locally in your browser via ffmpeg.wasm — files never leave your device. Loudness normalization is different from peak normalization: instead of rescaling to a maximum sample value, it adjusts perceived loudness across the whole file using a psychoacoustic model. That's the standard streaming services and broadcasters use to keep tracks consistently loud without clipping. Use this tool to prep podcast episodes, master a music release for streaming, or unify audiobook chapters that were recorded at different volumes.
Input: M4A recording at average -22 LUFS
Output: M4A at exactly -16 LUFS, peak ≤ -1.5 dBTP — Apple Podcasts ready
Input: WAV master at -10 LUFS (loud and clipping)
Output: MP3 at -14 LUFS — Spotify won't clamp it down on playback
Input: Eight chapter WAVs ranging -19 to -25 LUFS
Output: Eight files all at -18 LUFS — consistent volume across the book