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Audio to MIDI Converter

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.

  • On-device analysis
  • Audio never uploads
  • Results stay local

Audio to MIDI, Online and On Your Machine

Converting audio to MIDI online normally means handing a stem to a server and waiting in a queue, then finding the free tier caps the length. Here the model is downloaded once and runs in the page, so audio to midi online free has no asterisk attached: a free audio to midi converter in the plain sense, with no length cap. Convert audio to midi free of charge, as many times as you like, with the file staying on your disk. For an unreleased bounce or a client stem that is the difference between using a tool and not being allowed to.

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

See It Before The DAW

Once transcription finishes, the result appears as a piano roll you can play back right here, so you judge quality before importing anything. Scan the notes, hit play to hear the synthesized version, and read the stats: how many notes landed, the pitch range, and the mean note length that tells you whether the model heard a clean line or a cloud of fragments. If polyphonic detection pulled in more than you wanted, switch to melody only to keep just the top line; the piano roll, the playback, and the downloaded file all update to match, so nothing surprises you after it hits Ableton or Logic.

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

Last updated

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.
This page is one. It is a free mp3 to midi converter online with no account, no export cap and no watermark on the MIDI, because the transcription model runs in your browser rather than on a rented GPU. That also makes it an audio to midi converter online free of the upload wait most alternatives charge you in time instead of money.
Yes. Anything your browser can decode goes in, so a wav to midi converter free of charge is the same tool: drop the WAV and the transcription runs identically. Lossless input helps a little at the edges, because the model hears the same detail your ears would.
It is, in the sense that matters: transcription uses a neural network rather than pitch tracking, which is what the phrases audio to midi ai and ai mp3 to midi usually mean. What it is not is a generative model. It transcribes what is actually in the recording; it does not invent a part that was not played. Going the other way, from a MIDI file back to audio, is the MIDI to MP3 renderer.
Judge them on monophonic versus polyphonic material rather than on the label. Almost every best audio to midi converter list ranks tools that handle a single clean melody well, which is the easy case. The difference shows on chords and on anything with drums underneath, where a neural model keeps the notes separate and a pitch tracker smears them.
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.
Polyphonic detection is doing its job: it hears every pitch at once, so harmonics, chord tones, and overlapping instruments all become notes. That is great for chords but noisy when you only wanted the tune. Flip the preview to melody only before downloading and it keeps just the highest note at each moment, giving you a clean single-line lead. The full-polyphony version is still one click away.
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.

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