Neiro
Ranked in Audio Restoration Software ·No free plan on record
About
Neiro is a local audio worksuite for source separation, restoration, transcription, and editing. Audio is processed on the user's machine and does not leave it. The project offers a Tauri desktop app and a browser interface launched with `neiro ui`; the interface binds to 127.0.0.1. Separation can produce vocals, instrumentals, harmonic and percussive parts, four- or six-stem mixes, and drum kits, with a null-test residual for each result. Restoration tools cover declipping, hum removal, denoising, dereverberation, bandwidth extension, and reference mastering. Transcription can export MIDI, MusicXML, ASCII tablature, and LRC lyrics. Studio provides non-destructive waveform edits, while Learn includes loop regions, count-in, metronome, step mode, WebMIDI, and DAW wait mode. VST2 and CLAP injectors can capture audio into Neiro from a DAW. Core DSP works without model downloads, while neural backends are optional and their weights download on first use. Desktop installers are listed for Windows, macOS, and Linux.
Who it is for
Neiro suits audio creators who want local processing for separation, restoration, transcription, editing, or practice. Its DAW injectors may suit users seeking shared-window capture.
What is good
- Audio stays on the user's machine
- Core DSP works without model downloads
- Multiple separation outputs include residuals
- Non-destructive waveform editing
- VST2 and CLAP DAW capture
What to know first
- Neural model weights download on first use
- Some model licenses restrict use to research or non-commercial work
- Compressed or video inputs require ffmpeg on PATH
- Python package requires Python 3.10–3.12
Verdict
Neiro combines audio processing, editing, and practice tools while keeping processing local. Users should review model licenses and requirements for their input formats before choosing it.
Compared on audio restoration software
- Free plan
- Yesgithub.com
- Noise reduction
- Yesgithub.com
- Click and crackle removal
- Yesgithub.com
- Hum removal
- Yesgithub.com
- Declip repair
- Yesgithub.com
- Batch processing
- Yesgithub.com
- Workflow format
- bothgithub.com
Facts
- Purpose
- Neiro is a local worksuite for audio source separation, restoration, transcription, and editing.github.com · 29 Sept 2026
- Local processing
- Audio is processed on the user's machine and does not leave it.github.com · 29 Sept 2026
- Interfaces
- Neiro provides a Tauri desktop app and a browser interface launched with `neiro ui`.github.com · 29 Sept 2026
- Separation
- It separates vocals, instrumentals, harmonic/percussive parts, four- or six-stem mixes, and drum kits, with a null-test residual for each result.github.com · 29 Sept 2026
- Restoration
- Restoration features include declipping, hum removal, denoising, dereverberation, bandwidth extension, and reference mastering.github.com · 29 Sept 2026
- Transcription
- It transcribes audio to MIDI and can also export MusicXML, ASCII tablature, and LRC lyrics.github.com · 29 Sept 2026
- Studio and learning
- Studio supports non-destructive waveform edits, while Learn includes loop regions, count-in, metronome, step mode, WebMIDI, and DAW wait mode.github.com · 29 Sept 2026
- DAW integration
- Shared-window VST2 and CLAP injectors can capture audio into Neiro's interface.github.com · 29 Sept 2026
- Model options
- The core DSP floor works without model downloads; neural backends such as Demucs, Basic Pitch, and AudioSR are optional.github.com · 29 Sept 2026
- Local network boundary
- The interface binds to 127.0.0.1, and the security policy says the app has no outbound network activity by default apart from user-initiated model downloads and updates.github.com · 29 Sept 2026
- Model security
- Model weight downloads are checked against manifest SHA-256 values, and the security policy warns that third-party weights can be dangerous.github.com · 29 Sept 2026
- License
- The engine, desktop shell, and frontend are MIT licensed; individual models retain their own licenses, some of which are non-commercial or research-only.github.com · 29 Sept 2026
- Support
- Support is provided through documentation and public GitHub Discussions or Issues, with private reporting for security vulnerabilities.github.com · 29 Sept 2026
- Requirements
- The Python package requires Python 3.10–3.12, and compressed or video inputs require ffmpeg on PATH; WAV and FLAC work without it.github.com · 29 Sept 2026
- Editing and practice
- Its Studio supports non-destructive audio edits, while Learn offers loop regions, count-in, metronome, WebMIDI, and DAW wait mode.github.com · 30 Sept 2026
- Desktop downloads
- The release page lists Windows MSI/EXE, macOS DMG, and Linux AppImage/DEB installers.github.com · 30 Sept 2026
- Local interface security
- The UI binds to 127.0.0.1, and the desktop shell restricts its connections to the local engine origin.github.com · 30 Sept 2026
- Model downloads and licensing
- Neural weights are not bundled with desktop releases and download on first use; each model carries its own license, which can include non-commercial or research-only terms.github.com · 30 Sept 2026
- Integrations
- The project documents VST2 and CLAP injectors for shared-window DAW capture, and a VST2 effect that works as a pass-through injector in a DAW.github.com · 30 Sept 2026
- Extension limits
- Neiro documents a local Python adapter plugin MVP, but granted adapters run in the Neiro process without a sandbox.github.com · 30 Sept 2026
- Evaluation limits
- Full MUSDB18-HQ and MAESTRO evaluation numbers require user-provisioned datasets.github.com · 30 Sept 2026
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Where it ranks on Inferse
Sources
- github.com/ericcayers-ai/Neiro· checked 29 Sept 2026
- github.com/ericcayers-ai/Neiro/blob/main/SECURITY.· checked 29 Sept 2026
- github.com/ericcayers-ai/Neiro/blob/main/SUPPORT.m· checked 29 Sept 2026
- github.com/ericcayers-ai/Neiro/releases· checked 30 Sept 2026
- github.com/ericcayers-ai/Neiro/blob/main/docs/plug· checked 30 Sept 2026