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Alt Denoiser
What it is
Alt Denoiser is a free, open-source plugin for real-time AI audio noise suppression. It is based on DeepFilterNet and bundles DeepFilterNet3 models, so using it does not require a separate model download. The plugin is available for Linux, macOS, and Windows in VST3, VST2, AU, LV2, and Standalone formats, with precompiled binaries listed on its Releases page. It accepts any host sample rate and performs automatic high-quality resampling. Its interface provides an attenuation knob plus input and output RMS meters. Version 1.0.2 supports mono-to-mono, stereo-to-stereo, and mono-to-stereo routing, with declared 1,920-sample latency for startup and reset FIFO prefill. Release notes cite DAW and EqualizerAPO fixes. Version 1.0.3 targets macOS 14.0 or later and addresses Linux loading failures on security-hardened distributions. The project is GPLv3 licensed, with GitHub Issues for support.
For and against
For
- Free and open-source GPLv3 project
- DeepFilterNet3 models included
- VST3, VST2, AU, LV2, Standalone formats
- Automatic resampling for any host sample rate
- Input and output RMS meters
Against
- macOS binaries require macOS 14.0 or later
- Version 1.0.2 declares 1,920-sample startup latency
- Source builds require CMake, Rust, and C++
The verdict
Alt Denoiser combines bundled AI noise suppression with broad plugin-format support and simple metering. Check the macOS requirement and declared startup latency before choosing it for a setup.
Who it suits
It suits people using DAWs, EqualizerAPO, or Windows microphone input who need real-time noise suppression. It also suits developers able to build from source with CMake, Rust, and a C++ compiler.
On the record
- Audio routing
- The v1.0.2 release notes list Mono-to-Mono, Stereo-to-Stereo, and Mono-to-Stereo routing support.github.com · read 8 Oct 2026
- Build requirements
- Building from source requires CMake 3.15 or later, Rust, and a C++ compiler.github.com · read 8 Oct 2026
- Controls and metering
- Its interface has one attenuation control and input/output RMS meters.github.com · read 8 Oct 2026
- Downloads
- The Releases page lists precompiled Windows, macOS, and Linux builds in VST3, VST2, AU, LV2, and Standalone formats.github.com · read 8 Oct 2026
- Host compatibility
- The release notes mention fixes for audio stutter and dropouts in EqualizerAPO and DAWs at standard host buffer sizes including 512, 1024, and 128 samples.github.com · read 4 Oct 2026
- Host examples
- The release notes cite Cubase, Reaper, and FL Studio as example DAWs for the VST3 plugin.github.com · read 8 Oct 2026
- Intended users
- The project describes plugin builds for audio hosts and a standalone app that can run without a host.github.com · read 8 Oct 2026
- Latency
- The v1.0.2 release notes state that the processing FIFO uses a declared 1920-sample latency.github.com · read 8 Oct 2026
- License
- The project is licensed under GPLv3.github.com · read 8 Oct 2026
- Linux security fix
- The v1.0.3 release notes say Linux plugin libraries use non-executable stack permissions to address loading failures on security-hardened distributions.github.com · read 8 Oct 2026
- Linux setup
- The build instructions list GUI and audio development dependencies for Ubuntu/Debian, Fedora, and Arch Linux and note that JUCE requires X11/XWayland client headers even under Wayland.github.com · read 4 Oct 2026
- macOS requirement
- The v1.0.3 release notes say macOS binaries target macOS 14.0 and later.github.com · read 8 Oct 2026
- Noise reduction model
- The plugin bundles DeepFilterNet3 models, so no external model download is required.github.com · read 4 Oct 2026
- Noise suppression model
- DeepFilterNet3 models are bundled in the plugin, so they do not require separate downloads.github.com · read 8 Oct 2026
- Plugin formats
- The project lists VST3, VST2, Standalone, AU, and LV2 formats.github.com · read 8 Oct 2026
- Purpose
- Alt Denoiser is a real-time AI audio noise suppression plugin based on DeepFilterNet.github.com · read 8 Oct 2026
- Sample rates
- The plugin supports any host sample rate with automatic resampling.github.com · read 8 Oct 2026
- Support
- The repository exposes GitHub Issues for project questions and bug reports.github.com · read 4 Oct 2026
