DeepFilterNet vs Noise Gator
DeepFilterNet
github.comNoise Gator
github.comSide by side
| Figure | DeepFilterNet | Noise Gator |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · AI Noise Cancellation Software | 9.0 (#1) | 7.6 (#9) |
| Spec score · Noise Cancellation Software | 8.9 (#4) | 7.6 (#7) |
| License | The repository code is free and open source under either the MIT License or Apache License 2.0, at the user's option. | The project is released under the MIT license. |
| Purpose | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. | 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. |
| Security | The repository page shows a Security and quality tab but provides no security or compliance claims in the project information read. | The README says DeepFilterNet downloads are verified with SHA256; it does not state a broader security or compliance certification. |
Plans
In their own words
DeepFilterNet
DeepFilterNet is a free, open-source framework for speech enhancement on full-band 48 kHz audio, using deep filtering. Its command-line tool suppresses noise in WAV files, with 48 kHz as its only supported sampling rate. A LADSPA plugin provides real-time noise suppression and can be used with PipeWire filter chains to create a virtual microphone or audio output, including for VoIP apps such as Zoom or Discord. The plugin's minimum latency is 20 ms from STFT processing, plus any delay added by the LADSPA host. The Rust command-line tool defaults to DeepFilterNet2; the Python interface documents DeepFilterNet and DeepFilterNet2. An optional post-filter may slightly over-attenuate very noisy sections. The framework supports Linux, macOS and Windows, though training is tested only under Linux. The Python package installs as deepfilternet, and an optional train extra adds data-loading functionality for Linux training. Code is available under either the MIT License or Apache License 2.0.
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.