The free Audio Recording Quality Checker
Upload an audio file to get a real digital-signal-processing analysis — clipped-sample detection, silence ratio, mono-vs-stereo check and dynamic range.
- Free to use
- No signup
- Nothing to install
- Runs in your browser
A voice recording analyzed shows 2.3% of samples clipped (recording level was too hot in a few loud moments), 18% silence (natural pauses between sentences — normal), and confirmed genuine stereo channels — flagging the clipping as the one real issue worth fixing before publishing.Open the Audio Recording Quality Checker
Illustration. Open the tool for the real thing.
What is the Audio Recording Quality Checker?
This tool decodes an uploaded audio file with the Web Audio API and runs real, deterministic digital-signal-processing checks directly on the actual sample data: it scans every sample for clipping (values pinned at or beyond ±1.0, meaning the recording level was too hot and permanently distorted), measures the proportion of the file that's effectively silent using a real RMS-based windowed analysis, checks whether the file is genuinely mono or stereo by comparing the two channels' actual sample data, and estimates dynamic range from the real peak-to-noise-floor ratio.
Every number reported comes from measuring the file's real decoded audio samples — not a text description or an AI estimate — so a podcaster, voice-over artist or musician can catch a bad recording (clipped, too quiet, silent gaps, or accidentally recorded in mono when stereo was intended) before publishing it.
3 steps to your result
Open the tool and follow along. Nothing to install.
What you get
Scans actual sample values for the telltale flat-topped waveform of digital clipping, with a percentage of affected samples.
Measures the real proportion of the recording that's effectively silent using windowed RMS, not a guess.
Compares the left and right channel's actual sample data to detect if a 'stereo' file is really identical mono content duplicated.
Computes the real ratio between the loudest peaks and the quiet noise floor from the decoded samples.
AZRS tools are free to open and use.
It opens in your browser, so there is nothing to download.
Used for
Pick one to see how it fits.
Podcasters and voice-over artists
Catch clipping or accidental mono recording before publishing an episode.
Try it freeMusicians checking a mixdown or recording
Verify real dynamic range and confirm stereo content is genuinely stereo, not duplicated mono.
Try it freeAnyone reviewing a recorded interview or meeting
Check for clipping or excessive silence before transcribing or publishing.
Try it freeHow it compares
A plain look at this tool next to the usual alternative.
| This utility | Desktop software | |
|---|---|---|
| Install | Nothing to install | Usually an app or program to install |
| Account | No signup | Depends on the product |
| Cost | Free to use | Free or paid, depends on the product |
| Where it runs | In your browser tab | On your computer |
Questions people ask
How is clipping actually detected?
The tool scans the real decoded sample data for values at or beyond the ±1.0 digital ceiling (the point where a sample can no longer represent the true waveform), and reports what percentage of samples hit that ceiling — this is a genuine measurement of the file's actual data, not a guess from playback.
How is silence measured?
By computing the real root-mean-square (RMS) energy in short windows across the whole file and counting what fraction of those windows fall below a low-energy threshold — a standard, real DSP approach to silence detection.
How does it tell mono from stereo?
By directly comparing the actual sample values of the left and right channels — if they're identical (or extremely close) throughout, the file is reported as effectively mono content even if it's technically encoded as a 2-channel file.
What is dynamic range here?
An estimate of the ratio between the loudest peak samples and the quiet noise-floor samples in the real decoded audio — a low dynamic range can indicate heavy compression/limiting, a very high range can indicate an inconsistent recording level.
Does this transcribe or identify the audio content?
No — this is pure signal analysis of the waveform data; it doesn't listen to or interpret what's being said.
More free tools
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Try the Audio Recording Quality Checker now
Real DSP analysis of an uploaded audio file — detects clipping, silence, mono/stereo and. Free to use.
Try it free