Audio Tools

Audio to MIDI Converter

Drop a melody, bassline, or vocal to convert to MIDI
first 2 minutes analyzed · MP3 · WAV · FLAC · M4A · AIFF
Private — files never leave your device

Turn what you hear into notes you can edit: this tool transcribes melodies, basslines, chords, and vocals from any audio file into a standard MIDI file using Spotify's open basic-pitch neural network, running locally in your browser. Best on isolated melodic material; expect light cleanup on complex sources.

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What To Feed It

  • Great: solo synth leads, basslines, vocal toplines, piano and guitar parts, whistled or hummed ideas
  • Workable: sparse loops where one instrument dominates
  • Poor: full club mixes and dense arrangements; too many sources compete for the same frequencies

How Neural Transcription Works

Classic pitch detectors track one note at a time and fall apart on chords. basic-pitch works differently: the network looks at a time-frequency image of the audio and predicts, for every moment, which of 88 piano pitches are sounding, where notes begin, and how the pitch bends within them. That is why it handles polyphony (chords, overlapping notes) and why it outputs pitch-bend information that most converters throw away. The trade-off of its small size is sensitivity to noise: percussive and breathy sounds sometimes register as faint spurious notes, which is what the cleanup pass in your DAW is for.

Cleaning Up Transcribed MIDI

  • Delete the dust first: notes shorter than a 64th are almost always transcription noise, not music
  • Check the key: detect the source's key, then look for isolated notes far outside its scale; most are artifacts
  • Quantize last, not first; hearing the raw timing tells you which notes are real before you snap everything to the grid
  • Octave errors cluster on basslines; if a bass part jumps an octave for one note, it usually did not

A Producer Workflow That Works

Hum or play the idea into your phone, drop the recording here, and pull the MIDI into your DAW with your own sounds. To reharmonize a transcribed part against a track you are working with, check the track's key with the Song Key & BPM Finder and see which notes belong using the scale finder.

Ben Modigell

Hey, it's Ben Modigell 👋

I've been DJing and producing music as "so I so," focusing on downtempo, minimal, dub house, tech house, and techno. My background in digital marketing, web development, and UX design over the past 6 years helps me create DJ tutorials that are clear, practical, and easy to follow.

DJingMusic ProductionTech HouseMinimal HouseDigital MarketingWeb DevelopmentUX Design

Methodology

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Author and Methodology

Maintained by Ben Modigell, founder of Vibes. Ben builds DJ library, preparation, BPM, and harmonic-mixing tools for working DJs.

Source
Vibes DJ-tool taxonomy and page logic maintained by Vibes.
Evidence
Page output checked against the current tool behavior and internal DJ reference data.
How this page is made
Tool pages are built from reusable page logic, internal DJ reference data, and visible on-page calculations. Programmatic reference pages are generated from structured data rather than hand-written one by one.

BPM, key, and genre labels can vary by edit, remaster, detection engine, and DJ software. Use these pages as a practical mixing reference, then verify important tracks in your own library.

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Frequently Asked Questions

Drop an audio file above. A neural network transcribes the pitches it hears into notes, and you download a standard .mid file you can drag into any DAW: Ableton, FL Studio, Logic, Cubase, all of them. The first two minutes of the file are analyzed.
Isolated melodic material: a lead line, a bassline, a vocal, a piano part. That is where transcription is genuinely accurate, including pitch bends. Dense full mixes produce messy results because many overlapping instruments fight for the same notes; if you need a part from a full song, isolate it first and expect to clean up the MIDI afterwards.
Spotify's basic-pitch model, an open-source (Apache 2.0) neural network for polyphonic pitch transcription, running entirely in your browser. The model is small (under one megabyte) but state of the art for lightweight transcription and handles chords, not just single notes.
No. The model downloads to your browser once and inference runs on your device. Your audio never leaves your machine.
Some cleanup in your DAW is normal for any audio-to-MIDI tool, including expensive commercial ones. Delete stray short notes first, then quantize. Knowing the source key helps you spot wrong notes fast; detect it with our Song Key & BPM Finder and delete anything far outside the scale.