# muscriptor/muscriptor

A multi-instrument music transcription model developed by Kyutai and Mirelo.

Repository: https://github.com/muscriptor/muscriptor
Canonical: https://ross.abutalabs.com/products/muscriptor
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-24T08:42:41+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 96, longevity 4
- inputs: {"age_days": 62, "days_push": 9, "days_rel": 28, "gap_med": 5.0, "n_releases_24m": 5}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1263, forks 149 (observed 2026-08-28T04:04:10.160879+00:00)

## What it is
MuScriptor is a multi-instrument music transcription model by Kyutai and Mirelo that converts audio recordings into MIDI and sheet music. It is distributed as a Python package with a CLI and a self-hostable web UI, and is claimed to be the most accurate open-source transcription model.

## Use cases
- transcribe a song recording to MIDI
- convert audio to sheet music notation
- transcribe multi-instrument music files
- self-host a music transcription web app
- run audio-to-MIDI transcription from the command line

## When to choose
- you need open-source audio-to-MIDI transcription with high accuracy
- you want MIDI plus engraved sheet music output from recordings
- you want a self-hosted transcription service or CLI

## When to avoid
- you need a permissively licensed model for commercial use (weights are CC BY-NC 4.0)
- you need real-time low-latency transcription
- you cannot run GPU inference locally and don't want to use the hosted service

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, audio-processing, llm-inference
- domain: machine-learning, deep-learning, media
- platform: python, windows, cli
- tags: music-transcription, audio-to-midi, sheet-music, transformer, music-information-retrieval, self-hosted, audio, linux, macos, web-server, gpu

## Member repositories
- muscriptor/muscriptor (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:10.160879+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 2026-08-30T05:04:09.480752+00:00, confidence not recorded.
  - readme: https://github.com/muscriptor/muscriptor (fetched 2026-08-28T04:04:10.160879+00:00, sha 3fe68506a330)
  - registry_pypi: https://pypi.org/pypi/muscriptor/json (fetched 2026-08-29T12:16:34.952762+00:00, sha 0085e19743b0)
- Data as of 2026-08-30T08:39:29.467469+00:00.