Deep voice test. Upload a recording and AI rates pitch, resonance, and bass quality on the voice depth spectrum.
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Record audio directly from your microphone
Voice Depth Analyzer is an AI-powered tool that analyzes voice pitch, tone, and resonance depth to evaluate fundamental frequency, resonance qualities, chest versus head voice balance, and overall tonal depth. It identifies where a voice falls on the spectrum from bright and light to dark and deep, describing the specific qualities that create the voice's sense of depth and richness. The tool examines fundamental frequency (pitch), resonance characteristics, chest voice versus head voice balance, and overall tonal depth to provide comprehensive analysis of voice depth. It explains how these elements combine to create the voice's depth characteristics, making it valuable for singers understanding their voice, voice coaches assessing vocal characteristics, audio engineers mixing vocals, or anyone wanting detailed understanding of voice depth and resonance.
Upload your voice sample and the AI analyzes depth characteristics systematically. Fundamental frequency analysis examines pitch and how it relates to depth perception. Resonance evaluation looks at vocal timbre, resonance placement, and how resonance contributes to depth. Chest versus head voice balance assessment examines register usage and how different registers affect depth perception. Tonal depth analysis evaluates overall richness, warmth, and depth characteristics. The tool synthesizes these characteristics to identify where the voice falls on the bright/light to dark/deep spectrum, providing detailed analysis of the specific qualities that create depth. It explains how fundamental frequency affects depth perception, how resonance contributes to richness, how register balance influences depth, and how all elements combine to create the voice's depth characteristics. The analysis provides specific observations about depth qualities and how they might be adjusted if desired.
Upload or record about 15 to 30 seconds of natural speech and the AI places your voice on the spectrum from bright and light to dark and deep. It looks at your fundamental frequency (the actual pitch), your resonance, and how much chest voice you use, then explains which of those is doing the work.
It evaluates three layers: fundamental frequency (how low your pitch actually sits), resonance qualities (where the sound vibrates, chest resonance reads as deeper), and the balance between chest and head voice. Then it describes your overall tonal depth and the specific qualities creating it, so the result is a profile rather than a single pass-or-fail score.
No, and that's the most common surprise in the results. Two voices at the same pitch can land very differently because resonance and chest voice balance carry a lot of the perceived deepness. A mid-pitch voice with strong chest resonance often sounds deeper than a lower voice that sits thin. The analyzer separates these factors so you see your actual mix.
Worth testing, because you are the least reliable judge of your own voice. You hear yourself partly through bone conduction, which adds low frequencies, so your voice sounds deeper in your head than it does to everyone else. The analyzer hears the version other people hear: the recording. That outside read is the whole point.
Mostly limited by your mic. Phone and laptop mics cut low frequencies, which makes any voice read thinner and brighter than it really is, so record close to the mic in a quiet room and speak naturally for at least 15 seconds. The analysis describes the recording it hears; feed it a thin recording and you get a thin verdict.
It tells you what to work on, which is the part most people skip. The breakdown shows whether your depth is limited by pitch, by resonance placement, or by leaning on head voice, and those have different fixes (resonance and chest voice engagement are trainable, your anatomy sets the pitch floor). Run it again after practicing and compare.
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