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NeuralNote
What it is
NeuralNote is a free, open-source audio plugin that transcribes audio into MIDI inside a digital audio workstation. Its MuScriptor model can process full mixes and group notes by instrument. A built-in multi-instrument synthesizer provides separate gain, mute, and solo controls. Users can record audio or load WAV, AIFF, FLAC, MP3, and OGG Vorbis files, then drag MIDI to a track or save it as a MIDI file. NeuralNote is described as a VST3, AU, and standalone AudioFX plugin for Linux, macOS, and Windows. Installers are listed for Apple Silicon macOS and x64 Windows; Linux prebuilt binaries are coming soon, with source builds available meanwhile. Processing runs on the CPU or GPU and audio stays on the machine, though the plugin connects online for model downloads and updates. MuScriptor models come in small, medium, and large sizes, with downloads of about 210 MB, 620 MB, and 2.7 GB. The code is Apache-2.0; model weights are non-commercial.
For and against
For
- Free and open source
- Polyphonic full-mix transcription
- Multiple audio input formats
- Local audio processing
- VST3 and AU formats
Against
- Linux binaries not yet available
- Large model download is 2.7 GB
- GPU recommended for larger models
- Model weights are non-commercial
The verdict
NeuralNote combines local transcription, instrument grouping, MIDI export, and a built-in synth in a free plugin. Platform packaging differs by operating system, and model licensing limits commercial use.
Who it suits
NeuralNote suits musicians and producers who want local audio-to-MIDI transcription in a DAW. It also fits users comfortable choosing model sizes and, on Linux, building from source.
Plans and prices
NeuralNote
No paid tiers or feature limits stated; MuScriptor model weights are for non-commercial use
Read 4 Oct 2026 · github.com
On the record
- Audio input
- Users can record audio or load WAV, AIFF, FLAC, MP3, and OGG Vorbis files.github.com · read 4 Oct 2026
- Built-in synth
- The plugin includes a multi-instrument synth with per-instrument gain, mute, and solo controls.github.com · read 4 Oct 2026
- GPU support
- The plugin uses Metal on macOS and Vulkan on Windows and Linux when a GPU is available, and recommends a GPU for medium and large models.github.com · read 4 Oct 2026
- Licensing limit
- NeuralNote's code is Apache-2.0, while MuScriptor weights use CC BY-NC 4.0 and may only be used non-commercially.github.com · read 4 Oct 2026
- Local processing
- Transcription runs on the user's CPU or GPU, and audio stays on the user's machine; the app goes online to download models and check for updates.github.com · read 4 Oct 2026
- Maker
- The repository credits NeuralNote v2 as developed by Damien Ronssin with AI assistance.github.com · read 4 Oct 2026
- MIDI output
- Users can drag MIDI from the plugin to a MIDI track or save it as a MIDI file.github.com · read 4 Oct 2026
- Model choices
- MuScriptor models are available in small, medium, and large sizes, trading speed for quality.github.com · read 4 Oct 2026
- Model download sizes
- The model downloads are about 210 MB for small, 620 MB for medium, and 2.7 GB for large.github.com · read 4 Oct 2026
- Multi-instrument transcription
- Its MuScriptor model can transcribe full mixes with notes grouped by instrument.github.com · read 4 Oct 2026
- Platform availability
- Installers are listed for Apple Silicon macOS and x64 Windows; Linux prebuilt binaries are described as coming soon, with source builds available meanwhile.github.com · read 4 Oct 2026
- Plugin formats
- The README describes NeuralNote as a VST3, AU, and standalone AudioFX plugin.github.com · read 4 Oct 2026
- Purpose
- NeuralNote is an audio plugin for transcribing audio to MIDI in a digital audio workstation.github.com · read 4 Oct 2026
- Security and privacy
- The README says transcription is local and audio never leaves the machine; it makes no security certification or compliance claim.github.com · read 4 Oct 2026
- Support
- The project directs users to file bug reports and feature requests as GitHub issues and welcomes pull requests.github.com · read 4 Oct 2026
