Normalize audio loudness to any LUFS target.
Measure your audio's loudness the way streaming services do, and bring it to −14 LUFS for YouTube and Spotify, −16 for podcasts, or any target, without clipping.
- 100% free
- No watermark
- No sign-up
- Full quality
- Files stay on your device
Loading the tool…
It runs in your browser. Nothing is uploaded.
How it works
How to normalize audio, free, in three steps.
1
Drop in your video or audio
MP4, MOV, MP3, WAV or M4A. Its loudness is measured right away, the way YouTube, Spotify and broadcasters measure it.
2
Pick the target
−14 LUFS for YouTube and Spotify, −16 for Apple Podcasts, −23 for broadcast, or your own. You see the gain it needs and how hard the peaks will be held down, before anything changes.
3
Download it at the right level
Audio comes back in its own format. In a video only the sound is re-made: the picture is copied across bit for bit, untouched.
Why this one
Free, with nothing held back, and nothing uploaded.
Measured like the platforms do
Integrated loudness to ITU-R BS.1770, the standard behind LUFS and EBU R 128, with the same gating, plus true peak with 4× oversampling.
Louder without clipping
Raising a quiet recording would push its peaks past 0 dB. A look-ahead limiter holds them under −1 dBTP instead, so it gets louder without distortion.
The picture isn't touched
For a video, only the soundtrack is processed and re-encoded. The video stream is copied as it is, so there's no quality loss and it's done in seconds.
The result, before you export
See the loudness it measured, the gain it will apply, the loudness it will land on and how often the limiter works, then decide.
Your file is opened and processed by your own browser. It is never sent to a server, so it stays private, and there’s no upload to wait for.
What does normalizing audio do?
Normalizing sets a recording's overall loudness to a standard level. Streaming services already do this to everything they play: YouTube and Spotify turn loud uploads down. Too quiet, and you lose; your video sounds weak next to everyone else's and viewers turn it up.
This normalizer measures integrated loudness to the BS.1770 standard, works out the gain to reach your target, and raises or lowers the whole file by that much. Where the gain would push a peak past the ceiling, a look-ahead limiter holds it under −1 dBTP instead, so nothing clips.
Ready-made versions of the loudness normalizer
Make a video louder
Boost a quiet video to a proper level without clipping. Only the sound changes.
LUFS meter
Measure integrated loudness and true peak of any audio or video, to the BS.1770 standard.
Normalize podcast audio
Bring an episode to −16 LUFS with peaks under −1 dBTP, Apple Podcasts' requirement.
Rescroll
Good sound is more than the right level.
Rescroll's AI video editor balances voice and music, removes background noise and filler words, and adds captions, so your video sounds and reads as polished as it looks.
- Voice and music balanced automatically
- Background noise and filler words removed
- Captions in your brand's style
Questions
The loudness normalizer: your questions, answered.
How do I normalize audio to −14 LUFS for free?
What is LUFS?
What loudness should I use for YouTube, Spotify and podcasts?
What's the difference between normalizing and just turning it up?
Is this loudness normalizer really free?
Does it add a watermark?
Is my video or audio uploaded anywhere?
How big a file can it handle?
Which browsers does it work in?
More free tools for your videos
Silence remover
Cut the pauses and dead air out of any video or recording, automatically. Full quality, no watermark.
Video compressor
Shrink any video to a target size or quality as an MP4 that plays everywhere. No upload.
Video resizer
Change any video to 9:16, 1:1, 4:5 or 16:9 with a blurred fill or a crop. Full quality, no watermark.
Extract audio from video
Save any video's sound as MP3, WAV or M4A, the original copied untouched where possible.
Video trimmer
Cut the start and end off any video, frame-exact or lossless with no re-encoding.
Keep reading