MP3
Good for music sharing, phones, cars, and most upload platforms.
Browser-based processing
Audio Volume Normalizer
Make audio consistently loud with optimized targets and peak protection for music, podcasts, and broadcast.
No uploadMediaBunny Web WorkerCommon audio formats
01
Local analysis
Peak and average levels stay on device
02
Target control
Music, podcast, broadcast, or custom
03
Preview first
Compare the source and normalized result
Step 1
Add your audio
Drop one audio file here, or browse your device.
Audio loudness normalization guide
Supported audio formats
Normalize common compressed, lossless, and recording files, then export MP3, M4A, FLAC, or WAV. Actual decoding depends on the codec inside the file and your browser.
WAV
Uncompressed PCM audio for editing, mixing, and production workflows that need original detail.
M4A
Efficient AAC audio for Apple devices, mobile playback, and smaller sharing files.
FLAC
Lossless compression for music libraries, archives, and later editing.
How to normalize audio volume online
No installation, account, or upload is required. Choose an audio file, inspect its levels, select a target, and download the local result.
- 01
Add an audio file
Drop in an MP3, WAV, M4A, AAC, FLAC, OGG, or Opus file, or browse your device.
- 02
Choose a loudness target
Start with -14 dBFS for music, -16 dBFS for podcasts, or -23 dBFS when you need broadcast-style headroom.
- 03
Check peak protection
The normalizer limits the applied gain so peaks stay below -1 dBFS and clipping is less likely.
- 04
Preview and download
Compare the source and result, then download as MP3, M4A, FLAC, or WAV when it sounds right.
Common audio normalization use cases
When tracks play at noticeably different levels, loudness normalization reduces manual volume changes and makes playback or editing smoother.
Podcasts and interviews
Bring guests, microphones, and recording environments closer together so listeners do not keep reaching for the volume control.
Music playlists
Make songs from different albums or sources feel more consistent in a personal library or mobile player.
Video voice-over and courses
Prepare narration before editing so dialogue, voice-over, and background music are easier to balance.
Broadcast and delivery
Use a lower target with more headroom when the file will go through mastering, review, or a delivery specification.
Your audio stays on your device
The File API, MediaBunny, and a Web Worker read, analyze, normalize, and encode the audio in your browser. Source files are never sent to MediaKit servers; clearing the file or closing the page releases local URLs, Worker resources, and result memory.
FAQ
Audio loudness normalization FAQ
Are my audio files uploaded?
No. Analysis and normalization run in a Worker on this device, and the file is never uploaded to MediaKit.
What is loudness normalization?
It estimates how much gain to add or remove from the average level, while checking peaks so different files play at a more similar loudness.
Which target should I choose for music, podcasts, or broadcast?
Try -14 dBFS for music, -16 dBFS for podcasts, and -23 dBFS for broadcast-style headroom. Follow the destination platform or project specification when one exists.
Will a quiet file always get louder?
Usually, but peak protection can limit the gain when the original peaks are already high. That avoids clipping even if the average target is not fully reached.
Does normalization reduce audio quality?
MP3 and M4A require lossy re-encoding. Choose FLAC or WAV for later editing or archiving, and keep the original source file.
Can I use this on a phone?
Yes. Use a recent browser, keep the page open during processing, and allow enough memory for large files.
Keep working with audio
Related tools and tutorials
Convert audio format
Export the normalized audio in another format.
Open toolCompress audio
Reduce file size before sending, uploading, or publishing.
Open toolTrim audio
Remove unwanted sections or long silence before normalizing.
Open toolChange audio speed
Create faster or slower versions for lessons, podcasts, and practice.
Open tool