Review narration clicks
Find likely click moments in voice-over, audiobook, or course narration.
Result preview: Likely mouth-click moments are surfaced as timestamps so the narrator can inspect them before final cleanup.
Local processing · your file stays on your device
This finder flags suspicious transients. It does not remove audio, so you can review the moments inside your editor without destructive cleanup.
Many creators want to know where the clicks are before running a processor that may dull the whole voice. This tool gives review timestamps first.
Choose narration, audiobook, voice-over, interview, or course audio where mouth clicks or lip smacks are distracting.
Use higher sensitivity to find more possible clicks, or lower it when the list is crowded with harmless consonants and edits.
Click Scan for clicks, then treat the results as review points rather than automatic proof that every timestamp needs repair.
Open the file in an editor, check each suspicious moment, and remove or soften only the clicks you can actually hear.
Find likely click moments in voice-over, audiobook, or course narration.
Result preview: Likely mouth-click moments are surfaced as timestamps so the narrator can inspect them before final cleanup.
Check suspicious timestamps before using a broad de-click effect on the whole file.
Result preview: The user can check suspicious spots first instead of running a heavy de-click effect across the entire recording.
Create a short list of moments to inspect inside an audio editor.
Result preview: The result becomes a compact list of moments to open inside an audio editor.
Locate sharp mouth noises or button clicks in spoken recordings before publishing.
Result preview: Sharp mouth noises, button clicks, or distracting transients are easier to find before the interview is published.
Checked against mature online audio tools for the same job: the goal is not only to complete the task, but to make the next decision obvious.
Strong analysis tools turn raw measurements into decisions: clipping risk, silence, level mismatch, timestamps, tempo confidence, or musical sorting hints.
Basic analyzers often show numbers without telling users what to do next.
These pages translate measurements into triage notes, review timestamps, confidence language, and follow-up actions such as normalize, trim, tag, or re-record.
Use it when you already have an audio file and need a cleaner, smaller, clearer, or easier-to-share copy before opening a full audio editor. It is useful for lecture recordings, meeting audio, voice notes, podcasts, music clips, MP3 files, WAV files, and saved browser recordings.
Yes. This browser-based audio tool is designed to process the file locally, so you can test settings, preview the result, and download a new copy without uploading private recordings to a server.
Common browser-supported formats such as MP3, WAV, M4A, AAC, OGG, and FLAC usually work best. Very large files, unusual codecs, or protected streaming files may need to be converted, trimmed, or recorded again first.
Preview the result, compare it with the original, and make sure the speech, music, timing, volume, file size, or metadata still feels right. If the setting is too strong, choose a gentler option and run the audio processing step again.