Audio Normalizer

Audio normalization gives your tracks a consistent loudness so listeners do not need to ride the volume knob. It is a core step for podcasts, music releases, streaming content, and any audio library.

• Consistent loudness: Match perceived volume across songs, episodes, or clips so they feel cohesive.
• Better listener experience: Prevent sudden jumps in volume that cause fatigue or frustration.
• Streaming-ready: Hit platform loudness targets so a service does not turn your track down on playback.
• Professional polish: Normalize before publishing to keep levels under control.
• Library management: Bring an entire archive of recordings to a more even level.

Most tools state a preset and hand back a file. This one measures the finished audio again and shows the result, so hitting the target is something you can read rather than something you have to trust. The check is a second measurement pass over the encoded file, which means it sees what a lossy encoder did to the level too — an encoder's own filterbank moves inter-sample peaks, and that is the whole reason a true peak ceiling exists.

• Before: integrated loudness, true peak, loudness range, sample peak and RMS.
• After: the same measurements taken from the file you are about to download.
• If a run cannot reach its target, it fails and says so rather than handing back a file that missed.

Normalization is a gain adjustment based on analysis of your audio. Different methods analyze different metrics, but the goal is the same: bring your content to a predictable loudness without unwanted distortion.

• Loudness (LUFS): Loudness Units relative to Full Scale, the perceptual measure every streaming and broadcast standard is written in. Use this unless you have a specific reason not to.
• Peak: Raises the loudest sample to the level you set. Simple and predictable, but two files at the same peak can still sound nothing alike.
• RMS: Uses average power over the whole file. It sits between peak and loudness, and it works on clips too short for a loudness reading.
• True peak limiting: Catches inter-sample peaks that clip on playback even when every sample sits below 0 dBFS. It runs at four times the sample rate, which is what makes a dBTP ceiling mean anything.
• Levelling: Evens out level differences inside a single file — two speakers at different distances, or music under speech. One overall gain cannot fix those, because it moves the loud and quiet parts together.

Each preset sets both a loudness target and the true peak ceiling that goes with it. These are the published delivery figures, not house preferences.

• Spotify, YouTube, Amazon Music: -14 LUFS. Amazon asks for a -2 dBTP ceiling; the others take -1.
• Apple Music and podcasts: -16 LUFS at -1 dBTP.
• EBU R128 (European broadcast): -23 LUFS at -1 dBTP.
• ATSC A/85 (US broadcast): -24 LKFS at -2 dBTP.
• Cinema and dialog-gated targets: Not offered. Those are measured over speech only, and this tool has no dialog gate — a preset that landed somewhere else would be worse than no preset.

A few helpful facts about loudness and normalization can guide your settings.

• Streaming platforms normalize playback to a target loudness, so uploading louder does not make you louder.
• Peak normalization alone does not guarantee matching perceived loudness.
• Loudness is measured over 400 ms blocks, so a clip shorter than that has no loudness reading at all — use peak or RMS for those.
• Dynamic range is as important as loudness; over-levelling can sound fatiguing.
• True peak limiting prevents clipping when a normalized file is encoded to MP3 or AAC.

Follow these practices to normalize audio effectively without compromising quality.

• Use loudness for podcasts and streaming; use peak when you need a guaranteed headroom figure.
• Leave a little headroom — -1 dBTP is the usual ceiling, -2 for broadcast.
• Reach for the leveller only when a recording is genuinely uneven; on well-recorded material one gain is better.
• Audition normalized audio on headphones and speakers to confirm it feels right.

• Podcasts: Make every episode, intro, and ad read land at a consistent loudness.
• Music playlists: Match songs from different albums so they do not jump in volume.
• Streaming uploads: Normalize before uploading so the platform does not adjust your levels for you.
• Course content: Ensure lectures, tutorials, and screen recordings stay at a comfortable level.
• Voice libraries: Normalize large sets of voice prompts or narrations for consistent playback.

Your file is measured, the exact gain that lands it on your target is worked out, and the result is measured again to confirm it.

• Measure: One pass reads integrated loudness, true peak, loudness range, sample peak and RMS from your file.
• Work out the gain: Your target minus the matching measurement. Loudness scales exactly with gain, so this is the right number rather than an estimate.
• Apply: The gain is applied, along with the high-pass and leveller if you asked for them.
• Limit if needed: If the gain would push the true peak past your ceiling, a 4x oversampled limiter holds it there. If it would not, no limiter runs at all.
• Verify: The encoded file is measured again and the level it landed on is shown next to the download.

Powered by optimised audio processing algorithms.

• LUFS Loudness Meter
• Compress Audio
• Volume Booster
• Audio Cutter
• Audio Converter
• Audio Merger