Audio To Midi

Community

maystudios

audio-to-midi

Convert MP3/WAV/FLAC audio files to MIDI (.mid) and MusicXML (.musicxml) with full music analysis. Two engines: Basic Pitch (general-purpose polyphonic) and Piano Model (high-accuracy piano, 96.7% F1). Optional Demucs stem separation. Use --engine piano for piano/keyboard music for best results. Trigger when the user wants to: transcribe audio to MIDI, convert music to sheet music/notes, extract notes from audio, get MusicXML from a recording, analyze tempo/key/chords of a song, separate stems (vocals/drums/bass) and transcribe each, or any audio-to-notation task. Also triggers for requests like "convert this MP3 to MIDI", "get the notes from this song", "what key is this song in", "transcribe this audio", "separate and transcribe stems".

Overview

Publisher	maystudios
Repository	`claude-skills`
Skill name	`audio-to-midi`
Stars	26
Forks	2
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by maystudios on GitHub. Read the source before you install it.

Installation

Install the Audio To Midi AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/maystudios/claude-skills/tree/main/audio-to-midi
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/maystudios/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/audio-to-midi .claude/skills/audio-to-midi

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audio To Midi in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audio To Midi on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audio To Midi is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Audio-to-MIDI Transcription

Convert audio files to MIDI and MusicXML with full music analysis (tempo, key, chords, dynamics, instruments).

Tool

Script: scripts/transcribe.py -- wraps Basic Pitch, Demucs, librosa, and music21. Auto-installs dependencies.

Workflow

Identify the input audio file (MP3, WAV, FLAC, OGG, M4A)
Determine options:
- Stems? Add --stems to separate vocals/drums/bass/other with Demucs first
- Output dir? Use -o path or default to input file's directory
- Skip analysis? Add --no-analysis if only MIDI/MusicXML needed
- Skip MusicXML? Add --no-musicxml if only MIDI needed
Run the transcription script
Report output files and analysis summary to user

Engines

Engine	Flag	Best for	Accuracy
Basic Pitch	`--engine basic-pitch` (default)	Mixed/polyphonic music	Good
Piano Model	`--engine piano`	Piano/keyboard music	96.7% F1

For piano or keyboard music, always use --engine piano — it captures sustain/pedal, has far fewer ghost notes, and produces much more accurate MIDI.

Usage

bash
# Piano music (recommended for piano/keyboard)
py -3.12 scripts/transcribe.py "piano.mp3" --engine piano

# General music (default engine: Basic Pitch)
py -3.12 scripts/transcribe.py "song.mp3"

# With stem separation (Demucs): each stem gets its own MIDI + MusicXML
py -3.12 scripts/transcribe.py "song.wav" --stems

# Custom output directory
py -3.12 scripts/transcribe.py "song.mp3" -o ./output --engine piano

# Tuning Basic Pitch sensitivity
py -3.12 scripts/transcribe.py "song.mp3" --onset-threshold 0.6 --frame-threshold 0.4

# MIDI only (skip MusicXML)
py -3.12 scripts/transcribe.py "song.mp3" --no-musicxml

# MIDI + MusicXML without analysis
py -3.12 scripts/transcribe.py "song.mp3" --no-analysis

Output Files

For input song.mp3:

song.mid -- MIDI file (for DAWs, notation software)
song.musicxml -- MusicXML (for MuseScore, Finale, Sibelius, Dorico)
song_analysis.json -- Full analysis (tempo, key, chords, dynamics, spectral)

With --stems, each stem produces its own MIDI + MusicXML:

vocals.mid, vocals.musicxml
drums.mid, drums.musicxml
bass.mid, bass.musicxml
other.mid, other.musicxml

Analysis Output

The _analysis.json contains:

tempo_bpm: Detected BPM
key: Detected key and mode (e.g. "A minor")
key_confidence: 0-1 confidence score
chords: Time-stamped chord progression
unique_chords: Deduplicated chord list
dynamics: Mean/max/min dB, dynamic range
spectral: Centroid, bandwidth, rolloff, ZCR
instrument_hints: Detected instrument categories

Tuning Parameters

Flag	Default	Effect
`--onset-threshold`	0.5	Higher = fewer ghost notes, may miss quiet notes
`--frame-threshold`	0.3	Higher = stricter note detection
`--min-note-length`	58	Minimum note duration in ms

For clean recordings (piano, guitar): defaults work well. For complex mixes: use --stems for best results. For percussive music: lower onset threshold to 0.3-0.4.

Dependencies

Auto-installed on first run: basic-pitch, librosa, music21, pretty_midi, numpy, onnxruntime. With --stems: also installs demucs (includes PyTorch). Requires: Python 3.12 (py -3.12), ffmpeg (for MP3 decoding).

Important: Use py -3.12 (not python) to run the script. Python 3.14 has compatibility issues with ML packages. The script auto-selects the ONNX backend for Basic Pitch (most compatible).

Supported Input Formats

MP3, WAV, FLAC, OGG, M4A, AAC, WMA

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/transcribe.py13 KB

Frequently asked questions

What does the Audio To Midi AI skill do?

Why use Audio To Midi on TypingMind?

Because you install it once and use it with any model. Audio To Midi is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audio To Midi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/maystudios/claude-skills/tree/main/audio-to-midi. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Audio To Midi?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audio To Midi?

As many as you like. As long as a model supports skills, you can use Audio To Midi with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audio To Midi AI skill free?

Yes. It is published on GitHub by maystudios under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Audio-to-MIDI Transcription

Tool

Workflow

Engines

Usage

Output Files

Analysis Output

Tuning Parameters

Dependencies

Supported Input Formats

Bundled files

Frequently asked questions

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