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Neiro

No phone app

6.9No. 5 of 20
in Audio Restoration Software
  • Recognised40% of the score65
  • Phone app26% of the score0
  • Documented20% of the score99
  • Free plan14% of the score30
Free plan
No
Runs on
Linux, Mac, self-hosted, Web, Windows
Visit site Alternatives

Summary

Neiro is a local audio worksuite for separating sources, repairing recordings, transcribing audio and editing waveforms. Audio processing stays on the user's machine. It offers a Tauri desktop app and a browser interface launched with `neiro ui`. Separation options include vocals, instrumentals, harmonic and percussive parts, four- or six-stem mixes, and drum kits; each result includes a null-test residual. Restoration tools address clipping, hum, noise, reverberation and bandwidth extension, as well as reference mastering. Transcription can export MIDI, MusicXML, ASCII tablature and LRC lyrics. Studio supports non-destructive waveform edits, while Learn includes loop regions, count-in, metronome, step mode, WebMIDI and DAW wait mode. VST2 and CLAP injectors can bring DAW audio into Neiro. Core DSP works without model downloads, while optional neural backends download weights on first use. The interface binds to 127.0.0.1, and the Python package requires Python 3.10–3.12. Neiro is free; model licenses vary, and some restrict use to non-commercial or research settings.

Who it is for

Neiro suits people who want local audio separation, restoration, transcription or waveform editing. Its practice tools and DAW capture options may also suit musicians working with audio on a desktop.

What is good

  • Audio processing stays on the user's machine.
  • Core DSP works without model downloads.
  • Restoration includes declipping, hum removal and denoising.
  • Exports transcription to MIDI and other formats.
  • Supports non-destructive edits and DAW audio capture.

What to know first

  • Neural weights download on first use.
  • Some model licenses restrict use to non-commercial or research settings.
  • Compressed or video inputs require ffmpeg on PATH.
  • Granted adapter plugins run without a sandbox.

Verdict

Neiro brings separation, restoration, transcription and editing into a local audio workflow. Check individual model licenses and the Python and ffmpeg requirements before relying on particular inputs or backends.

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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