Empathy tone detector. Upload a clip and AI rates how warm, attentive, and compassionate your voice reads.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
To check whether your voice sounds empathetic, upload a clip and the AI rates your empathy out of 10 and shows its work: the warmth indicators it found (softness of attack, audible smile in the voice, downward inflections at the end of caring statements), your active-listening tells (acknowledgments, mirroring pace, validating words), and the cues that undermine empathy, like rushed pace, flat affect, or the advice-giving tone that turns support into instruction. It places your voice on a spectrum from clinical to deeply compassionate and gives two adjustments to sound more empathetic in coaching, therapy, customer success, or personal calls. The painful truth it addresses: feeling empathy and transmitting it are different skills. Plenty of genuinely caring people sound clinical on calls because their pace is efficient and their affect flat, and the listener only receives what the voice carries. This measures what actually transmits.
Upload a clip of you in a supportive conversation (a real or role-played coaching moment, support call, or comforting talk works best) and the AI listens for the mechanics of transmitted empathy. Warmth analysis examines how your phrases begin (soft versus abrupt attack), whether there is a smile in the voice, and whether caring statements end with settling downward inflections. Listening analysis identifies acknowledgments, pace mirroring, and validating language, the audible evidence that you are receiving rather than waiting to talk. Undermining-cue detection flags rushing, flat affect, and the advice-giving tone that converts empathy into instruction. Spectrum placement locates your overall delivery between clinical and deeply compassionate. The two adjustments are chosen for your specific leaks: slowing into the other person's pace, softening phrase onsets, or validating before solving.
Upload a clip from a supportive conversation and the detector rates the empathy your voice actually transmits out of 10, with the evidence: warmth cues like soft phrase onsets and an audible smile, active-listening tells, and the habits that undermine it, like rushing or slipping into advice mode. Two targeted adjustments close the report.
You can measure its audible carriers. Warmth of tone, pace mirroring, validating language, and settling downward inflections are observable in a recording, and they are what listeners experience as being cared for. What no tool can measure is what you feel; this scores what reaches the other person's ear.
Common and fixable. Efficient pace, flat affect, and jumping straight to solutions all read as detachment even when concern drives them; helpers and managers fall into this constantly. The breakdown shows which of those habits your clip carries, and the usual fixes (slow into the other person's pace, validate before solving) are mechanical.
It reads one side of one conversation, so context is missing: the same brisk tone can be perfect for a deadline check-in and cold for a grief call. The rating describes how the clip would likely land on a listener in a support context. Use it directionally, especially by comparing recordings over time.
A real or role-played support moment: a coaching call excerpt, a customer conversation, you comforting a friend (with consent if others are recorded). Thirty seconds to a few minutes works. Reading a caring script in a flat hurry is a useful experiment too, since it shows how much delivery alone changes the score.
Anyone whose work depends on transmitted warmth: coaches, therapists in training, customer success and support teams, managers running one-on-ones, healthcare workers, and people who keep hearing that they sound cold on calls. It also works as a rehearsal check before a difficult personal conversation you want to get right.
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