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HARQ ClearVoice vs Noise Gator

HARQ ClearVoice

harq.ai

Noise Gator

github.com

Side by side

FigureHARQ ClearVoiceNoise Gator
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
Plans published11
Spec score · AI Noise Cancellation Software7.2 (#15)7.6 (#9)
PurposeClearVoice provides real-time AI noise cancellation and accent neutralization on an agent’s workstation.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.

Plans

HARQ ClearVoice

  • ClearVoicePrice not published

HARQ ClearVoice pricing →

Noise Gator

  • Noise GatorFree

Noise Gator pricing →

In their own words

HARQ ClearVoice

HARQ ClearVoice is paid workstation software for real-time microphone noise cancellation and accent neutralization during calls. It filters sounds such as traffic, barking dogs, and other agents before audio reaches a softphone. HARQ states that processing has 40 ms latency, runs on the CPU, and does not require a GPU. Audio remains on the workstation instead of being sent to a server, and the software can work offline. Accent neutralization is described as signal-level speech enhancement that preserves natural speech; it is not translation or text-to-speech. A virtual audio device outputs the processed signal, which the user selects as the softphone input. Named compatibility includes Talkdesk, Genesys, Five9, Avaya, and any SIP client using that device. ClearVoice is enabled as a toggle on an existing HARQ presence agent, without a separate installer. Auto-updates are included per device. Pricing is metered per device per month through an AWS Marketplace private offer, with rates supplied by sales.

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Noise Gator

Noise Gator processes microphone audio in real time to reduce noise, then sends the cleaned signal to a virtual audio device for other apps. It is free under the MIT license and runs on Windows and macOS. Discord, Teams, and Zoom are named as apps that can use the virtual device as a microphone input. DeepFilterNet is the default denoising engine, with dual-pass RNNoise as a lighter fallback. The 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; the ZIP includes the executable and ONNX Runtime DLL. DeepFilterNet’s runtime and an approximately 8 MB model download on first use, with SHA256 verification. Settings are saved to a TOML file for the next launch, and headless mode supports scripted or server use. The latest listed release is v0.1.2. Building from source requires stable Rust 1.85 or later, plus MinGW-w64 or MSVC on Windows.

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