bluejacketblackhawk/cleanroom

Cleanroom is a free desktop app for Windows and macOS that cleans up and masters podcast audio in one click. You drop in an audio or video file, press Master, and it runs everything on your own computer, with no cloud upload, no account, and no subscription. The whole process, including the noise removal models and the audio tools it depends on, is bundled into the download, so there is nothing extra to install. Pressing Master runs a chain of processing steps: it brings the loudness up to a standard broadcast target, removes background noise like room echo, hiss, and fan sound using an AI denoising model called DeepFilterNet3, and evens out the volume so a quiet speaker and a loud speaker end up sounding balanced. The app shows an A and B toggle so you can flip between the original and the processed version at any point in the recording to hear exactly what changed. It also shows a plain-English summary of what it found and fixed, such as noticing room echo or a hum at 60 Hz, with the underlying numbers available if you hover over them. Beyond the one-click mastering, the app can export to several audio formats including WAV, MP3, FLAC, Opus, and AAC, and can batch process a whole folder of old episodes overnight. It can watch a folder and automatically master any new file dropped into it, transcribe speech locally with speaker labels using whisper.cpp, remove dead air and filler words with your review before applying changes, and handle multitrack recordings with per-track processing and automatic alignment for remote interviews. There is also a command line interface for scripting, and the tool produces the exact same output file every time given the same input and settings. The README compares the project directly to Auphonic, a paid cloud-based podcast processing service, describing Cleanroom as a free and open-source alternative that keeps audio on the user's machine, works offline, and has no per-file credit limits. The project is released under the MIT license.