# DamRsn/NeuralNote

Audio Plugin for Audio to MIDI transcription using deep learning.

Repository: https://github.com/DamRsn/NeuralNote
Canonical: https://ross.abutalabs.com/products/neuralnote
Language: C++
License: Apache-2.0
License Family: permissive
Topics: audio, audio-plugin, juce-framework, machine-learning, midi, vst
Last push: 2025-01-16T10:00:44+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 1, release rhythm 28, longevity 91
- inputs: {"age_days": 1279, "days_push": 594, "days_rel": 599, "gap_med": 69, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2891, forks 190 (observed 2026-08-28T04:07:28.351274+00:00)

## What it is
NeuralNote is an audio plugin (VST3/AU/Standalone) that performs audio-to-MIDI transcription using deep learning, based on Spotify's basic-pitch model. It supports polyphonic transcription, pitch bend detection, and MIDI quantization directly inside a DAW.

## Use cases
- convert recorded audio to MIDI in a DAW
- transcribe polyphonic instrument recordings to MIDI
- extract MIDI from vocal melodies
- drag and drop transcribed MIDI into a MIDI track
- quantize and scale transcribed MIDI inside a plugin

## When to choose
- you need audio-to-MIDI conversion inside your DAW as a VST3/AU plugin
- you want polyphonic transcription with pitch bend detection
- you want a free, cross-platform transcription tool with MIDI export

## When to avoid
- you need a command-line batch transcription tool
- you require drum/percussion transcription
- you need real-time live transcription during performance

## Facets
- artifact type: plugin
- maturity: active
- function: audio-processing, machine-learning, plugin-system
- domain: machine-learning, media
- platform: windows
- tags: audio-to-midi, vst3, audio-unit, music-transcription, juce, daw-plugin, basic-pitch, audio, macos, linux, desktop

## Member repositories
- DamRsn/NeuralNote (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:28.351274+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:35:19.396569+00:00, confidence not recorded.
  - readme: https://github.com/DamRsn/NeuralNote (fetched 2026-08-28T04:07:28.351274+00:00, sha 64a0d4a2684f)
- Data as of 2026-08-30T08:39:29.467469+00:00.