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Noise Gator

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What Noise Gator is

Noise Gator is a free app for suppressing microphone noise in real time on Windows and macOS. It routes processed audio to a virtual audio device that other apps can select as a microphone input; Discord, Teams and Zoom are named as examples. DeepFilterNet is the default denoising engine, with dual-pass RNNoise as a lightweight fallback. Its audio pipeline also includes a highpass filter, suppression control, a voice-activity-driven noise gate, three-band EQ and automatic gain normalization. Bluetooth headset audio is supported, and the device menu refreshes when devices connect or disconnect. The app can install VB-Cable on Windows or BlackHole on macOS automatically. Prebuilt binaries are available from GitHub Releases, where the ZIP contains the executable and ONNX Runtime DLL. DeepFilterNet’s runtime and approximately 8 MB model download automatically on first use, with SHA256 verification. Settings are saved to a TOML file and restored on launch, and a headless mode supports scripted or server use. The project is MIT-licensed.

Who it suits

It suits Windows and macOS users who want to route cleaned microphone audio into apps such as Discord, Teams or Zoom. Headless mode may also suit scripted or server use.

What it does well

  • Suppresses microphone noise in real time.
  • Includes DeepFilterNet and dual-pass RNNoise engines.
  • Supports Bluetooth headset audio.
  • Can install virtual audio drivers automatically.
  • Settings persist in a TOML file.

What to know first

  • Available platforms are Windows and macOS.
  • The model and runtime download on first use.
  • Building from source requires Rust 1.85 or later.

Limits

The app is free. DeepFilterNet’s runtime and approximately 8 MB model download automatically on first use.

Plans

PlanBilled and limitsPrice
Noise GatorStandalone app · MIT licensed · Windows and macOSFree

As github.com lists them, read 7 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the Noise Gator GitHub Releases page.
  2. Download a prebuilt release ZIP for your platform.
  3. Extract the executable and ONNX Runtime DLL from the ZIP.
  4. Launch the app; DeepFilterNet’s runtime and model download on first use.
  5. Use the virtual audio device as the microphone input in an application such as Discord, Teams, or Zoom.

Noise Gator is a free microphone-processing app for people who want cleaner audio in calls on Windows or macOS. Its combination of two denoising engines, adjustable DSP controls and virtual-device routing is unusually capable for a standalone tool; the trade-off is a first-run model download and no Linux support.

Overview

Noise Gator sits between a microphone and a calling app: it suppresses noise in real time, then sends the processed signal to a virtual audio device that the other app can use as its microphone. Discord, Teams and Zoom are named as compatible uses. Automatic installation of VB-Cable on Windows or BlackHole on macOS can ease routing setup, though the virtual device remains part of the audio path.

DeepFilterNet is the default engine, with dual-pass RNNoise as a lighter fallback. On first use, the DeepFilterNet runtime and an approximately 8 MB model download automatically. SHA256 verification is applied to that download; it is not a broader security or compliance certification. The project is released under the MIT license.

Key features

Processing and controls

The DSP pipeline includes a highpass filter, suppression control, a VAD-driven noise gate, three-band EQ and auto-gain normalization. That range gives users options to shape microphone output beyond a single suppression switch. It will suit people who want to tune their audio chain, while users looking only for a basic on/off filter may not need the extra controls.

Devices and operation

Bluetooth headset audio is supported, and the device menu refreshes when hardware is connected or disconnected. Settings are saved to a TOML file and restored on the next launch, avoiding repeated configuration. A headless mode also supports scripted or server use, which makes the app relevant beyond a conventional desktop call setup.

Prebuilt binaries are available from GitHub Releases; the release ZIP contains the executable and ONNX Runtime DLL. Building from source requires stable Rust 1.85 or later, plus MinGW-w64 or MSVC on Windows. The Releases page lists v0.1.2 as the latest release.

Pricing

Noise Gator costs nothing. The free standalone app is MIT-licensed and includes Windows and macOS support; there is no separate paid plan or free-trial period to weigh. That makes it a straightforward choice for individuals or teams willing to use the app as provided, though formal organisational requirements may call for a different tool with broader security or compliance assurances.

Platforms

Noise Gator runs on Windows and macOS, with microphone input as its supported audio source. Linux users will need another option. Automatic virtual-driver installation is platform-specific: VB-Cable for Windows and BlackHole for macOS.

Who it's for

Choose Noise Gator if you want real-time microphone cleanup for calls, want more control than a basic noise gate offers, and are comfortable routing audio through a virtual device. Bluetooth headset support and refreshed device selection help when audio hardware changes; headless mode may suit scripted deployments. It is a weaker fit if you need Linux support or a published security certification.

Pros and cons

  • Two denoising options: DeepFilterNet is the default and dual-pass RNNoise provides a lightweight fallback.
  • Useful audio shaping: The highpass filter, suppression control, VAD-driven gate, three-band EQ and auto-gain offer more adjustment than a single filter toggle.
  • Routing help: Automatic installation of the relevant virtual audio driver reduces setup work on either supported platform.
  • First-use dependency: DeepFilterNet's runtime and model download automatically on first use, so the initial setup requires that download.
  • No Linux version: The Windows and macOS coverage excludes users on Linux.
  • Limited assurance claim: SHA256 verification covers the model download, not a wider security or compliance certification.

Alternatives

Browse AI noise-cancellation software for more options across the category. DeepFilterNet is a free, open-source alternative for Linux as well as macOS and Windows. Kleervox is worth considering if you need Linux or web access, or want a free tier with one hour of daily cleaning and a virtual microphone for call apps. DeskBroadcast is a macOS alternative with a free tier and a one-time Pro plan at 79.00 USD for three Macs. Noise Blocker is another Windows option, with a 30-day business trial that requires request and approval for up to 20 employees or computers. NoiseTorch-ng is a free Linux option for PulseAudio or PipeWire. NoNoise Mac is a free, open-source choice for macOS. NVIDIA ShadowPlay is a Windows option for systems meeting its supported-GPU and driver requirements. RNNoise is a free Linux alternative under the BSD-3-Clause license.

Verdict

Noise Gator is a strong fit for Windows and macOS users who want a free, configurable microphone-cleanup route into call apps, especially if automatic virtual-driver setup is useful. Look elsewhere if Linux support or formal security assurances are essential.

Verdict

Noise Gator provides real-time microphone processing and a virtual-device route for other apps. It is limited to Windows and macOS, and its denoising runtime downloads on first use.

Questions

How much does Noise Gator cost?

Noise Gator is free under the MIT license.

Which platforms does it support?

It supports Windows and macOS.

Which apps can use its audio output?

Discord, Teams, and Zoom are named as applications that can use the virtual audio device as a microphone.

How does it suppress noise?

DeepFilterNet is the default engine, with dual-pass RNNoise as a lightweight fallback. The audio pipeline also has filtering, suppression, gating, EQ, and gain controls.

How do I get the app?

Prebuilt binaries are available on the GitHub Releases page. The release ZIP includes the executable and ONNX Runtime DLL.

Is Noise Gator open source?

The project is released under the MIT license.

Facts from Noise Gator's own pages

Audio controls
Its DSP pipeline includes a highpass filter, suppression control, a VAD-driven noise gate, three-band EQ, and auto-gain normalization. · github.com, 7 Oct 2026
Build requirements
Building from source requires stable Rust 1.85 or later, plus MinGW-w64 or MSVC on Windows. · github.com, 7 Oct 2026
Configuration
Settings are saved to a TOML file and restored on the next launch. · github.com, 7 Oct 2026
Denoise engines
It includes DeepFilterNet as the default engine and dual-pass RNNoise as a lightweight fallback. · github.com, 7 Oct 2026
Device support
The app supports Bluetooth headset audio and refreshes its device menu when devices are connected or disconnected. · github.com, 7 Oct 2026
Download
Prebuilt binaries are available from the GitHub Releases page, with the executable and ONNX Runtime DLL in the release ZIP. · github.com, 7 Oct 2026
Headless mode
The app supports a headless mode for scripted or server use. · github.com, 7 Oct 2026
Integrations
The README names Discord, Teams, and Zoom as applications that can use the virtual audio device as their microphone input. · github.com, 7 Oct 2026
License
The project is released under the MIT license. · github.com, 7 Oct 2026
Model download
DeepFilterNet’s runtime and approximately 8 MB model download automatically on first use, with SHA256 verification. · github.com, 7 Oct 2026
Purpose
Noise Gator processes microphone input in real time to suppress noise and routes the cleaned audio to a virtual audio device for use by other apps. · github.com, 7 Oct 2026
Release status
The Releases page lists v0.1.2 as the latest release. · github.com, 7 Oct 2026
Security
The README says DeepFilterNet downloads are verified with SHA256; it does not state a broader security or compliance certification. · github.com, 7 Oct 2026
Virtual audio drivers
It can automatically install VB-Cable on Windows or BlackHole on macOS. · github.com, 7 Oct 2026

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