Turn audio into clean, accurate MIDI
Prism is a next-generation audio-to-MIDI engine designed for producers, musicians, and transcribers who demand accuracy and detail.
Built on advanced machine-learning techniques, Prism converts audio into clean MIDI with exceptional note recognition - capturing chords & single-note lines - with high-resolution timing and dynamics.
Prism opens the door to deep musical analysis and creative exploration.
Why Prism?
Designed for Solo Instruments
Prism is able to convert most instruments: acoustic guitar, clean guitar, lightly distorted guitar, bass, piano, saxophone, horns, violin, and more.
Monophonic & Polyphonic Precision
Unrivaled conversion of single and stacked multi-note instrumental audio. Prism accurately de-constitutes dense jazz piano/guitar playing, acoustic fingerpicking solos, single note violin, bass solos, etc. all with ease.
Fast Passage Tracking
Slow to fast passages, Prism has it covered. Other audio-to-midi convertors stumble when encountering faster passages. Prism's unique algorithms are able to hear and transcribe these passages.
Frictionless Workflow
ARA plugin provides for efficient workflow. No need to wait while audio is "captured".
Multiple Algorithms
The "general" algorithm is the work horse and is applicable for most instruments. However, we wanted to eek out the absolute best performance so we created an algorithm specifically for solo acoustic piano and another for distorted guitars.
Built-in Fully Featured Midi-editor
Yes, we realize your DAW already has an excellent midi-editor, but having a built-in editor allows you to tweak the algorithm and see the results without having to do multiple round-trips of dragging the audio into your DAW.
Built-in Piano Playback
Yes, we realize your DAW has way better Instruments than the simple piano sampler we've included in Prism, but it has the same benefits as including the midi-editor does.
Spectrogram View
The spectrogram view provides a finer-grained view than midi notes and can be useful for figuring out guitar-bends, vibrato, etc.
State of the Art
We've invested a LOT of time and thought in developing our proprietary algorithms to get them to the point where we were happy with the results. We hope our efforts are useful for you.
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