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AI · October 18, 2023

FS

free studio quality noise reduction for music

Dear HN, this is Thomas from Tape It. We're releasing our studio quality noise reduction software as a free web app today. You can try it at: https://tape.it/denoiser Listening examples: https://www.youtube.com/watch?v=gRjxY7GTV6Y We've been researching on this for over two years, and will present the paper next week at the Audio Engineering Society conference in NY. You can read about the research here: https://tape.it/research/denoiser Short version: we combined a classic DSP denoiser with a neural network that controls it. Training this it…

In plain words

Tape It offers a free web-based noise reduction tool that removes stationary background sounds like fan noise and amplifier hum from audio files. The software combines traditional digital signal processing with neural network technology to achieve studio-quality results across music, speech, and other audio types. It works on all kinds of audio content and is accessible through a web browser with no installation required.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Dear HN, this is Thomas from Tape It. We're releasing our studio quality noise reduction software as a free web app today. You can try it at: https://tape.it/denoiser Listening examples: https://www.youtube.com/watch?v=gRjxY7GTV6Y We've been researching on this for over two years, and will present the paper next week at the Audio Engineering Society conference in NY. You can read about the research here: https://tape.it/research/denoiser Short version: we combined a classic DSP denoiser with a neural network that controls it. Training this it was non-trivial, and we describe in the paper how we did it. Our research website also has a 2min video that summarises the paper. The denoiser only removes stationary noise, like fan noise or amp hums. It works on all kinds of audio, not just speech, and we particularly focused on its applicability in music. Our main goal was to create a denoiser that always works and introduces minimal artefacts. To our knowledge, nobody has built such an automatic high-quality denoiser yet. Please check out the video above, as well as the listening examples on our research page, where we also compare it against other software such as large deep learning models like Facebook's HDemucs, the very popular RNNoise, and non-automatic commercial software like iZotope RX. We believe that this is a really useful piece of software. If you record audio, you can basically always run your raw recordings through our denoiser and assume that they'll sound better afterwards. Try it with your guitars, your vocals or field recordings. Really looking forward to your feedback!

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