SoundGeek: Free Offline App Removes Background Noise and Hum from Audio

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A developer has released SoundGeek, a lightweight desktop app that handles three core audio cleanup tasks: background noise removal, mains hum filtering at 50/60 Hz, and loudness levelling. The tool is built with .NET 8, Avalonia for the interface, and the sherpa-onnx library for its AI-based denoising model. Unlike full digital audio workstations or subscription-based online services, SoundGeek is designed to stay minimal and process audio entirely offline, keeping recordings on the user's machine. Hum removal relies on traditional notch filtering rather than machine learning, while the neural model handles broader noise reduction. The app is currently available via GitHub and a dedicated website, though it is not yet code-signed, so Windows SmartScreen may flag it on first launch.

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