CleanTake
Clean recorded speech locally — no upload.
Drop in a noisy voice recording. Get back clean speech. Everything runs on your machine — your audio never touches a server, and there's no monthly tab.
What it does
Drop a file
WAV or MP3 of already-recorded speech — a podcast take, a voiceover, a lecture.
Local denoise
Fan hum, air-conditioner drone and steady room noise are stripped out on your CPU. Nothing is uploaded.
Get clean audio
Loudness-normalized output lands next to your input. One file in, one file out.
Honest scope — read before you try
- Removes steady environmental noise: fans, air-conditioners, electrical hum, room tone.
- Works on already-recorded files (podcasts, voiceovers, online lessons).
- Does NOT separate overlapping speakers — it can't pull one voice out of a crowded café.
- Is NOT a real-time call tool — it processes files, not live meetings.
We publish our limits on the limits page and keep a public changelog. If your use case is outside this scope, CleanTake isn't the tool — and we'd rather tell you now.
Why local-first?
Cloud audio tools charge a monthly subscription and require you to upload your voice to someone else's server. CleanTake does the job on your own machine: private by architecture, free by design. No account, no telemetry (see our privacy note).
Competitor pricing and features change often — anything we compare is re-checked on the day of publishing, never treated as permanent data.
Status
CleanTake v1.0.0 is out. Batch mode, 3 denoise presets, video in → video out. The core pipeline (ffmpeg → DeepFilterNet → loudness normalization) passed a real-voice test: ~32 dB of environmental noise removed, voice preserved. See the changelog.
First run note: Windows may show "Windows protected your PC" — the app isn't code-signed yet (certificates cost money; we're open-source and free). Click More info → Run anyway. It's safe: 100% local, no network calls, source on GitHub.