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Elgato Voice Focus vs NoiseTorch-ng

Elgato Voice Focus

elgato.com

NoiseTorch-ng

github.com

Side by side

FigureElgato Voice FocusNoiseTorch-ng
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYes—
macOSYes—
Linux—Yes
Plans published11
Spec score · AI Noise Cancellation Software7.7 (#8)7.4 (#11)
Spec score · AI Speech Enhancement Software7.3 (#21)7.2 (#24)
SupportThe product page links to Elgato support for help with license activation limits.Troubleshooting guidance is provided in the project wiki, including instructions for collecting debug logs.

Plans

Elgato Voice Focus

  • Voice Focus standalone VST3/AU plugin$49.99, paid once

Elgato Voice Focus pricing →

NoiseTorch-ng

  • FreeFree

NoiseTorch-ng pricing →

In their own words

Elgato Voice Focus

Elgato Voice Focus is an AI-powered audio effect for cleaning a user’s microphone during streaming, recording, meetings, video editing, music production, and podcasting. It targets background noise, room reverb, and echo while preserving vocal warmth and detail. Elgato says its models reconstruct missing vocal frequencies, and one slider ranges from light processing to full processing. The standalone plugin is VST3 for Windows and AU for macOS, working in software that hosts those effects, including streaming tools, video editors, and DAWs. Named integrations include OBS Studio, Adobe Premiere, DaVinci Resolve, Final Cut Pro, Logic, Pro Tools, FL Studio, and Audacity. Zoom, Teams, and Slack require routing through Wave Link. Voice Focus processes only the user’s microphone. Processing occurs on-device in real time, without cloud transmission, recording, or model training. The standalone lifetime license costs 49.99 USD as a one-time purchase, with three total activations; Wave Link includes it free for listed Wave devices.

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NoiseTorch-ng

NoiseTorch-ng is a free, open-source Linux application that reduces microphone noise in real time. It uses RNNoise and works with PulseAudio or PipeWire, creating a virtual “Filtered Microphone” for applications such as OBS, Mumble, and Discord. The project describes setup as a two-click process and distributes the app as a small, statically linked binary. A Voice Activation Threshold can be set as high as 95%, or set to 0% to dampen noise without deactivating the microphone. Optional output filtering routes applications through a virtual “Filtered Headphones” device. Microphone filtering adds 10 ms of inherent latency; output filtering is approximately 100 ms with PulseAudio. The project reports a suspected update-server and repository breach, says no malicious code was found, and says updates are retrieved from GitHub releases. GitHub reports no SECURITY.md file or published security advisories. Troubleshooting guidance, including how to collect debug logs, is in the project wiki. The latest listed release is v0.12.2, released June 17.

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