Turn Any Audio Into MIDI
Professional AI-powered audio transcription. Upload any recording and get an accurate MIDI file in seconds. Preview before you pay — only $1 per minute.
Transcription Features
Multi-Track Instrument Detection
The model can recognize over 100 MIDI program instruments. These instruments are merged into 27 instrument categories.
Show Instrument Groups
General MIDI Drum Transcription
47 different drum and percussion pieces that follow the General MIDI drum mapping(plus some commonly used extensions)
Show Drum List
Note Velocity
Feeling and groove isn't just about what notes are played, but how they're played.
Instrument Suppression
If neccessary, you can tell the model not to output unwanted instruments.
Audio Preview
Hear an audio rendering of the MIDI transcription, and only pay if you're happy.
Simple Process
How It Works
Three steps from audio to MIDI. No subscriptions, no hidden fees.
1. Upload Audio
Drag and drop any audio file — MP3, WAV, OGG, FLAC, or M4A. Up to 50MB.
2. Preview Result
See an interactive piano roll preview and listen to the MIDI playback before committing.
3. Download MIDI
Accept the result and download your MIDI file instantly. Only pay if you're happy.
Hear The Difference
Industry-Leading Accuracy
No audio to midi converter is perfect, so here are some demo tracks so you can get a feel for where our model performs well, and where it doesn't
Pricing
Simple, Pay-Per-Use Pricing
No subscriptions. No commitments. Only pay for what you use.
Pay Per Transcription
$1 / minute
- Preview before you pay
- No subscription required
- Instant MIDI download
- Audio playback preview
- Supports MP3, WAV, OGG, FLAC, M4A
Audio is rounded up to the nearest minute
Frequently asked questions
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Yes. We think it's the best audio to MIDI converter out there, but of course we would say that.
But you don't have to take our word for it, we have a number of demo tracks you can listen to. We deliberately chose challenging tracks to show where the model does well, but also where it struggles. We chose tracks with dense instrumentation, fast notes, wide dynamic range variation, and post-processing FX. These demo tracks have not been adjusted or altered to remove any flaws. We took the output MIDI, picked some VST instruments that were roughly similar to the original track, did some very basic mixing, and then output the result to audio.
Since the audio is transcribed by AI, it's impossible for us to say how well it will perform on any given audio file, so that's why we let you hear the result before you decide if it's worth spending money on. Our goal is not to trick you, we only want you to pay if you're happy with the transcription results. If our model doesn't do as well as you had hoped it would, it won't cost you a penny, but we hope you'll try us again in the future if you have another audio file you want converted to MIDI.
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MidifyAI uses AI/Machine Learning. This means it's a mathematical model that learns to convert the numbers of a digial audio waveform, into different numbers that represent MIDI events.
It works in a very similar way to machine translation, like Google Translate. Except instead of translating English into Spanish, it translates digital audio into MIDI. It learns the patterns in the "language" by looking at lots and lots of examples, and then tries to identify similar patterns in whatever audio you give it as input.
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No, we don't store the audio you upload. The server keeps it in memory for as long as it takes to convert it to MIDI, then it disappears into the ether.
Even if you wanted to allow us to train on your audio, we would have to politely decline, as it would be of no use to us. Training a music transcription model requires audio and a precisely aligned transcription.
So where does the data come from? Other than one publically available dataset of vocal transcriptions, we generate every second of our training data in-house. We have a collection of over 2,500 digital instruments, as well as over 10,000 drum samples that we use to generate our data. Yes, we've listened to every single instrument and every single drum sample, and yes it's as tedious and boring as it sounds.
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A 3 minute song uses about 25 watts of electricy to transcribe, which is equivalent to:
- Watching TV for ~15 minutes
- Running a clothes dryer for ~20 seconds
- Driving a car ~150 feet
Even though our environmental impact is tiny in the grand scheme of things, we still think it's important to try to offset our carbon footprint. 1% of anything you spend on our website is used to help fund early-stage carbon removal startups. This is done through a program with our payment provider, Stripe, called Stripe Climate. You can read more about Stripe Climate here.
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Good things take time, but better things take a little longer.
The model takes slightly less time than the length of the audio. So a 5 minute audio clip would take between 3½ and 4½ minutes. Clips with less dense notes and drums will be a bit faster.