How It Works
Your voice is the product of your unique physiology. The length of your vocal cords, the geometry of your throat, the shape of your mouth and nasal passages. These traits are yours alone, and they leave an acoustic signature in everything you say.
Vocal Color translates that signature into a single color. Yours.
Read Aloud
A short passage. A few sentences in your natural voice.
Analyze
Five dimensions, measured entirely in your browser.
Discover
A color unique to your voice, with a full profile.
What We Listen For
How high or low your voice sits. Determined by how fast your vocal cords vibrate. A deep bass rumbles around 85 Hz; a bright soprano rings near 280 Hz. Most speaking voices land somewhere between the two.
The resonant, tonal quality of your voice. Your throat, mouth, and nasal passages act like a filter, and the shape of that filter is unique to your anatomy. It's why your "ah" sounds different from everyone else's "ah."
Whether your voice rings like a bell or breathes like fog. Technically it is the ratio of harmonic energy to noise. A projected, resonant voice scores high; a breathy or soft voice scores lower.
Speech energy and pacing. It tracks how your voice rises, lands, and pulses as you move through a phrase.
How connected or separated your phrasing feels. Some voices move in long smooth lines, while others land in shorter, more distinct beats.
Voice to Color
The color itself: red, green, blue, violet. Pitch, Timbre, Clarity, Rhythm, and Flow are mapped into HSL color space at varying weights to produce a vocal color. The analysis is octave-aware and the full range of voices maps across the entire color wheel.
How vivid or muted your color is. This reflects how focused, airy, smooth, or punchy the voice feels overall.
How light or dark your color is. Reflects the overall tonal weight of your voice: whether it lives in the lower, deeper registers or the brighter, airier ones.
Calibration
Your color is meaningful relative to the natural spread of human voices, not just your own recording in isolation. Vocal Color is calibrated so the system can separate subtle differences instead of bunching many voices into the same narrow zone. Pitch gives the map a strong backbone, and the rest of your voice profile helps refine the final result.
What It Does Not Measure
Vocal Color is a snapshot, not a verdict. It does not measure personality, intelligence, or identity in any clinical sense. Two recordings of the same person can differ if the room is noisier, the mic is at a different distance, or the voice is tired. Think of the result as an aesthetic portrait: a moment, captured in color.
The Stella Passage
We ask you to read a specific excerpt: "Please call Stella. Ask her to bring these things with her from the store: six spoons of fresh snow peas, five thick slabs of blue cheese, and maybe a snack for her brother Bob." It is drawn from a longer phonetically varied passage used in speech science. We use this portion because it covers a wide range of vowel and consonant sounds, making it a reliable basis for analysis: the same text, every voice, on equal terms.
No AI
Vocal Color does not use machine learning or AI at any stage. The entire analysis pipeline is built on signal processing and deterministic math: pitch detection, spectral analysis, phonation measures, and temporal patterning. Your voice is measured directly, not predicted by a model trained on other people's data.