Upload two vocal recordings and the AI will determine whether they feature the same speaker or singer. Using advanced voice biometric analysis, the tool compares unique vocal characteristics like pitch range, timbre, formant structure, and speech patterns. Useful for verifying vocal identity, detecting impersonation, or confirming that session vocals match the credited artist.
The AI listens to the voice in each recording, ignores the background music, and compares how the two voices sound, for example their tone, pitch range and way of singing or speaking. You get a similarity score from 0 to 100% and a short written explanation. It is an AI judgment of how alike the voices sound, not a biometric fingerprint.
Yes, but big differences make it harder. A studio vocal against a phone voice note, heavy effects or loud music can all change how a voice sounds and blur the result. For the clearest read, use two recordings where the voice is easy to hear. If the music is loud, you can pull the vocal out first with Vocal Remover.
There is no fixed cut off. You get a similarity score from 0 to 100% and a written explanation of what sounds alike and what differs. A high score means the voices sound very alike and a low score means they sound different, but read the score together with the explanation. It is an AI estimate, not proof that two recordings are the same person.
Voice matching is a form of biometric analysis. You should only analyze recordings of people for whom you have a legitimate purpose, such as verifying your own vocal performances, authenticating credited session work, or authorized forensic investigation. Misuse of voice matching technology to track or identify individuals without consent may implicate privacy laws in various jurisdictions.