denoize

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denoize is a local audio cleanup toolkit written in Rust. It provides a CLI, a desktop app, DAW plug-ins, and embedding SDKs. Classical DSP is always available; neural backends are optional.

Install

Prebuilt releases

The latest release contains:

• CLI binaries for Linux, macOS, and Windows
• desktop packages
• CLAP, VST3, AUv3, and LV2 plug-ins
• C, Web/WASM, Android, and iOS SDKs

Release assets include SHA-256 checksums and signed build evidence.

Cargo

cargo install denoize --features full

The crates.io full feature includes every crates.io-compatible backend. DeepFilterNet is available in prebuilt releases or when building this repository.

Build from source

git clone https://github.com/penguin425/denoize.git
cd denoize
cargo build --release --features full

Quick start

# Classical denoising
denoize noisy.wav clean.wav -p hifi

# Managed GTCRN model
denoize models install gtcrn
denoize noisy.wav clean.wav -b gtcrn

# Bounded-memory processing for long recordings
denoize long.wav clean.flac --stream --resume --max-memory 256

# Inspect a recording or apply deterministic repair
denoize diagnose damaged.wav
denoize restore damaged.wav restored.wav --report restoration.json

Run denoize --help for the command list and see the CLI reference for complete options.

What it includes

Area	Highlights
Denoising	Classical DSP plus optional RNNoise, DeepFilterNet, GTCRN, DPDFNet, and external ONNX backends
Analysis and repair	Diagnosis, no-reference assessment, deterministic restoration, and optional model-based repair
Production workflows	Bounded streaming, resume, batch processing, watch folders, projects, stable JSON, and signed receipts
Audio applications	Target-speaker and target-sound extraction, echo cancellation, microphone arrays, meeting tracks, and music restoration
Integrations	Desktop app, CLAP/VST3/AUv3/LV2 plug-ins, Rust library, and C/Web/mobile SDKs

Specialized operations are explicit commands. Ordinary denoising never silently becomes source separation, semantic removal, or generative restoration.

Audio formats

Inputs include WAV/BWF/RF64, AIFF/AIFC, CAF, FLAC, Ogg Opus/Vorbis, MP3, M4A/AAC, and ALAC. Outputs include WAV, FLAC, Ogg Opus, MP3, M4A, and AAC.

Channel, metadata, codec, and bounded-memory details are documented in the CLI reference.

DAW plug-ins

Release archives provide two effects in each supported format:

• denoize: fixed-latency classical DSP
• denoize Neural: managed GTCRN inference with a fixed-latency safety fallback

The Neural plug-in never downloads a model from the host. Install the model with denoize models install gtcrn, then reload or reactivate the effect. Without the model, inference remains disabled while automation, accessible host parameters, state, and the selected fallback continue to work.

See the plug-in guides for installation, latency, state, accessibility, and host-validation details.

Models and safety

• Audio processing is local. Network access is limited to explicit model, catalog, or update operations.
• Managed models and signed model packages are verified before use and fail closed when their identity or contract does not match.
• Commands do not overwrite output files unless explicitly requested.
• Quality scores and signal checks do not prove semantic, speaker, or artistic fidelity. The relevant guides state each operation's limits.

See Models, Stable JSON contracts, and Resilience testing.

Documentation

Start with the documentation index.

• CLI reference
• Managed models
• Desktop app
• DAW plug-ins
• Embedding SDKs
• Projects and automation
• Release evidence
• Roadmap
• Release process

Machine-readable contracts are published in schemas/.

Development

cargo test --locked
cargo test --locked --all-features

The minimum supported Rust version is 1.96.

License

denoize-authored Rust code is MIT licensed. Third-party notices and license texts are in THIRD_PARTY.md and LICENSES.