Example input
A finished stereo mix selected for online video.
Audio analysis · Free utility
Measure music loudness before you publish
See standardized loudness and peak measurements in context. Platform targets are presented as references, not guarantees of playback volume or acceptance.
Audio is analyzed locally in your browser; raw audio is not uploaded. Sign-in is requested only when you run the tool.
Indexable example
See the job before you run it
This is a static example, not a pre-generated claim. Your actual result depends on the input you provide.
Example output
Integrated loudness: -13.8 LUFS; peak: -0.7 dBFS; loudness range: 6.2 LU. Review limiting if the target requires more peak margin.
How it works
A short, reviewable workflow
- 01
Upload the final export
Measure the exact file you plan to use, not an earlier session bounce.
- 02
Read all measurements
Consider loudness, peaks, and range together instead of chasing one number.
- 03
Compare with your context
Use current destination guidance and listen after any change.
Useful when
Three practical use cases
Review a release export
Document loudness before distribution.
Compare two masters
Check whether differences are mostly level or dynamics.
Prepare video audio
Avoid unexpectedly quiet or clipped playback in a rendered clip.
Questions
What to know first
What is LUFS?
It is a loudness measurement designed to reflect perceived level over time.
Does the tool normalize my audio?
No. It measures the file and leaves processing decisions to you.
Are platform targets permanent?
No. Destinations can change playback and normalization behavior, so verify current guidance.
Keep working
Related free tools
Audio analysis
Music Quality Checker
Run practical signal checks before sharing or generating a video. The result identifies measurable warnings without judging whether the song itself is artistically good.
Audio analysis
Best Music Clip Finder
Choose whether the clip should introduce the song, feature the hook, or capture the biggest energy change. The tool returns several candidates instead of declaring one subjective winner.
Audio analysis
Seamless Loop Finder
Choose a target duration and receive several loop candidates with transition scores. Preview each repeat because a mathematically close boundary can still sound wrong.
Next step