Voice Composer – Browser-based pitch detection to MIDI/strudel/tidal
Built this over the weekend to bridge the gap between "can hum a melody" and "can code algorithmic music patterns" (Strudel/TidalCycles) for live coding and live dj'ing. What it does: Real-time pitch detection in browser using multiple algorithms: CREPE (deep learning model via TensorFlow.js) YIN (autocorrelation-based fundamental frequency estimation) FFT with harmonic product spectrum AMDF (average magnitude difference function) Outputs: visual piano roll, MIDI files, Strudel/TidalCycles code All client-side, nothing leaves your machine Why multiple algorithms: Different pitch…
In plain words
Voice Composer is a browser-based tool that converts hummed or sung melodies into music notation and code. It uses real-time pitch detection through multiple algorithms—CREPE, YIN, FFT, and AMDF—to capture monophonic input and output visual piano rolls, MIDI files, or Strudel/TidalCycles code for live coding and DJing. Designed for musicians who want to bridge acoustic performance and algorithmic music production, it processes everything locally in the browser without transmitting data elsewhere.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Built this over the weekend to bridge the gap between "can hum a melody" and "can code algorithmic music patterns" (Strudel/TidalCycles) for live coding and live dj'ing. What it does: Real-time pitch detection in browser using multiple algorithms: CREPE (deep learning model via TensorFlow.js) YIN (autocorrelation-based fundamental frequency estimation) FFT with harmonic product spectrum AMDF (average magnitude difference function) Outputs: visual piano roll, MIDI files, Strudel/TidalCycles code All client-side, nothing leaves your machine Why multiple algorithms: Different pitch detection approaches work better for different inputs. CREPE is most accurate but computationally expensive; YIN is fast and works well for clean monophonic input; FFT/HPS handles harmonic-rich sounds; AMDF is lightweight. Let users switch based on their use case. Technical details: React, runs entirely in browser via Web Audio API Canvas-based visualization with real-time waveform rendering The original problem: I wanted to learn live coding but had zero music theory. This makes it trivial to capture melodic ideas and immediately use them in pattern-based music systems. Try it: https://dioptre.github.io/tidal/ Works best on desktop. Will work more like a Digital Audio Workbench (DAW). Source: https://github.com/dioptre/tidal
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