Noise reduction
ffmpeg's FFT denoiser tuned to each file's own background noise, or the RNNoise speech model. Adjustable strength and a rumble filter.
Take out hiss, hum and room noise, level it to -14 LUFS for YouTube and Spotify or -16 for podcasts, and pull the voice away from the music. Audio or video in; the same video back with clean sound, or the audio alone.
Processed on our own Mac, never uploaded elsewhere
Drop an audio or video file, or paste a TikTok, Instagram or YouTube link.
Noise reduction and its strength, a loudness target, voice or music only if you need it. Preview 20 seconds first.
Flip between before and after, check the loudness readings, and download. Files are deleted after an hour.
ffmpeg's FFT denoiser tuned to each file's own background noise, or the RNNoise speech model. Adjustable strength and a rumble filter.
Two-pass loudnorm to -14 LUFS (YouTube, Spotify), -16 (podcasts) or your own target, with before and after readings.
Demucs pulls the vocals away from the backing track: dialogue without the music, or the music bed without the talking.
Hear 20 seconds cleaned before committing, and switch between original and cleaned on every result.
The picture is copied untouched and only the soundtrack is replaced. Or take the audio alone as WAV, MP3, M4A or FLAC.
Everything runs on our own Mac with ffmpeg and open-source models. No cloud APIs, no ads, no tracking.
Standard works on steady noise (hiss, hum, air-con, a fan) and leaves music alone. Voice uses a model trained on speech and also handles changing noise like traffic or chatter, but it can thin out music, so use it for talking. Start around 50 and preview: too strong sounds watery.
-14 LUFS for YouTube, Spotify, TikTok and Instagram (they turn louder audio down anyway). -16 LUFS for podcasts (Apple's spec). Broadcast is -23. Loudness is measured over the whole file, so the balance between quiet and loud parts stays as it was.
Demucs is a neural network running on our Mac's processor: a minute or two for a short clip, about five for 15 minutes. Separation jobs run one at a time in their own queue and your card shows its place in line. Keep the page open and it will finish.
MP3, WAV, M4A, AAC, FLAC, OGG and Opus audio, MP4, MOV, M4V, WebM and MKV video, up to 500 MB and 15 minutes, and public TikTok, Instagram and YouTube links. Anything else is refused.
It's processed on our own Mac and deleted, with the results, an hour later. Nothing is sent to any outside service.