Voice attractiveness analyzer. Upload your voice and AI rates how appealing it sounds based on research-backed traits.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
Wondering if you sound attractive is more answerable than it seems: upload a voice clip and the AI rates the appeal of your voice out of 10 using research-backed traits rather than vibes. It evaluates pitch attractiveness (studies consistently find lower pitch in male voices and slightly higher pitch in female voices skew attractive on average, and the analysis comments on where yours sits), resonance and warmth, breathiness versus clarity, and pacing and confidence cues. You also get the list of traits already working in your favor, plus one or two coachable tweaks that could make your voice more appealing on a date, podcast, or interview. The framing is fun rather than clinical, but the underlying traits are the ones voice attractiveness research actually measures. And the practical point is real: voices are first impressions on calls, dating apps with voice prompts, and podcasts, and most of the relevant traits are adjustable habits, not fixed anatomy.
Upload a short clip of natural speech and the AI scores it against the traits attractiveness research keeps finding. Pitch analysis locates your fundamental pitch and comments on it relative to the averages listeners tend to prefer (lower for male voices, slightly higher for female voices), without pretending those averages are rules. Resonance analysis evaluates warmth and body, whether the voice sounds full or thin. Texture analysis weighs breathiness against clarity, since a little breathiness reads as intimate while too much reads as weak. Pacing analysis reads speed and steadiness as confidence cues, because rushed speech reliably reads as nervous. Everything combines into the rating out of 10, the inventory of traits already in your favor, and one or two specific, coachable adjustments (slowing your pace, dropping into chest resonance, finishing sentences with downward inflection) rather than suggestions to become a different person.
Upload a short clip and the analyzer rates your voice out of 10 against traits attractiveness research keeps measuring: pitch, resonance and warmth, breathiness versus clarity, and pacing. You also get the traits already working for you and one or two coachable tweaks. It describes how your voice tends to land on listeners, not a fixed truth about you.
On average, studies find listeners prefer lower pitch in male voices, slightly higher pitch in female voices, warm resonance, a touch of breathiness, and unhurried pacing that reads as confidence. Averages are not rules though; distinctive voices break them constantly. The analysis tells you which of these your voice already carries.
No, and the rating does not pretend otherwise. Attraction varies by listener, culture, and context; research only describes tendencies across large groups. The score is a read on how your voice maps to those tendencies, useful for self-awareness before dates, podcasts, or interviews, but no tool can tell you how one specific person will hear you.
Mostly yes, because the relevant traits are habits more than anatomy. Pacing, breath support, resonance placement, and ending sentences with downward inflection are all trainable, and the analysis picks one or two tweaks with the best effort-to-payoff ratio for your voice. Your pitch floor is set by physiology; nearly everything else moves.
Because you have never heard your real voice until you record it. You hear yourself partly through bone conduction, which adds warmth and depth, so recordings sound thin and wrong by comparison and most people judge their own recorded voice harshly. The analyzer hears the same version everyone else does, which makes it a fairer judge than you.
Fifteen to thirty seconds of relaxed natural speech, like you are leaving a voicemail for a friend. Avoid performing a deeper or smoother voice than you actually use, since you would be getting feedback on a character. A decent mic in a quiet room matters; harsh phone-speaker audio can read as a harsh voice.
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