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SpeechLens
Remove background noise from speech, locally on your Mac
Reduce background noise in audio and video without uploading your files. SpeechLens brings NVIDIA's RE-USE speech enhancement to your Mac in a native menu bar app. Drop a file, enhance speech, and hear the difference with before-and-after playback. Built for Apple Silicon, with a CLI and open-source code.
Hey everyone, I’m Çağatay, the developer of SpeechLens.
SpeechLens is a Mac menu bar app that reduces background noise in speech recordings. Drop in an audio or video file, let it process, then listen to the original and enhanced versions side by side. Your audio stays on your Mac.
It uses NVIDIA's RE-USE model, running locally on Apple Silicon with Swift, MLX, and custom Metal kernels.
The app and source code are available now, and you can hear before-and-after examples at https://speechlens.app/
For anyone interested in the technical details, I’ve shared a few benchmarks on Reddit and Hugging Face:
https://www.reddit.com/r/speecht...https://huggingface.co/nvidia/RE...
Github repo offers lots of detail as well:
https://github.com/faraday/Speec...
If you try it, let me know how it handles your recordings, especially where it struggles.
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About SpeechLens on Product Hunt
“Remove background noise from speech, locally on your Mac”
SpeechLens was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #247 on the daily leaderboard. Reduce background noise in audio and video without uploading your files. SpeechLens brings NVIDIA's RE-USE speech enhancement to your Mac in a native menu bar app. Drop a file, enhance speech, and hear the difference with before-and-after playback. Built for Apple Silicon, with a CLI and open-source code.
SpeechLens was featured in Open Source (69.1k followers), GitHub (41.5k followers), Apple (15.6k followers) and Audio (2.2k followers) on Product Hunt. Together, these topics include over 64.2k products, making this a competitive space to launch in.
Who hunted SpeechLens?
SpeechLens was hunted by faraday. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SpeechLens stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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