NoiseTorch is an open-source AI noise reduction software for audio and video. It uses deep learning to remove background noise from recordings while preserving speech and other foreground sounds.
NoiseTorch is an open-source artificial intelligence powered noise reduction application designed specifically for audio and video recordings. It utilizes deep learning algorithms to identify and remove ambient background noise from recordings, while preserving the quality and integrity of foreground sounds like human speech.
One of the main benefits of NoiseTorch is that it is highly effective at eliminating various types of background noise, including fan sounds, humming, wind, typing, and more. Even in very noisy environments, NoiseTorch can cleanly separate the background noise from the foreground sounds of interest.
At the same time, NoiseTorch does not degrade the quality of the foreground audio, as some other noise reduction software does. The preserved audio sounds completely natural, with no artifacts or muffling effects. This makes it well-suited for recording dialogue, interviews, music performances, and more.
As an open-source tool, NoiseTorch is completely free to use and modify. It runs locally on your machine without needing to send your data to external servers. The codebase continues to be updated by a community of contributors looking to further improve noise reduction performance.
Overall, if you need to clean up the background noise in audio or video recordings, NoiseTorch provides an intelligent AI-powered solution without compromising quality or privacy.