Upload an audio clip and get a verdict in seconds — whether the voice is a real human or synthetic speech from tools like ElevenLabs, OpenAI, Murf, PlayHT or Resemble.
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AI voice tools — ElevenLabs, OpenAI, Murf, PlayHT, Resemble — now clone and synthesize speech convincingly enough to fool the ear. Journalists worry about fabricated quotes, fraud teams about voice scams, and creators about cloned voices.
TextSight's AI Voice Detector analyzes spectral features, micro-pauses, breathing and waveform characteristics that synthetic voices leave behind. Upload a clip, get a verdict in seconds.
Synthetic speech can sound natural to the ear, but it is produced very differently from a human voice — and that difference shows up in the audio signal. Text-to-speech and voice-cloning models reconstruct a waveform from a learned model of speech, which tends to smooth over the tiny irregularities a real microphone always captures.
The detector inspects spectral features across the frequency range, the rhythm of micro-pauses between words, breathing and mouth noise, and the way energy rises and falls inside each syllable. Human recordings carry inconsistent room noise, natural breaths and slight timing variation; many AI voices are cleaner and more uniform than a real recording ever is. The tool weighs these signals together and returns a verdict with a confidence score, rather than a plain yes-or-no.
AI voice cloning has moved from novelty to everyday risk — a few seconds of someone's voice can be enough to generate convincing fake speech. That is why more people now need a fast way to verify audio:
The detector looks for the fingerprints synthetic speech leaves behind rather than matching a single vendor, so it generalizes across the major text-to-speech and voice-cloning engines, including ElevenLabs, OpenAI TTS, Murf, PlayHT, Resemble, Amazon Polly, Microsoft Azure TTS and Google Cloud TTS — plus most consumer AI voice apps built on top of them.
Because new voice models appear constantly, no detector can promise to catch every one. Heavily compressed, noisy or re-recorded audio lowers confidence for any tool — so treat the score as strong evidence to act on, not absolute proof.
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