AI Voice Detector
Voice cloning scams surged 1,300% in the past year — and most people can't tell the difference.
Voice cloning scams are rising fast. Pindrop's 2025 Voice Intelligence Report found that deepfake fraud attempts in contact centers surged by 1,300% year over year, with attackers targeting family members, executives, and customer support lines. Whether you received a suspicious call from a relative asking for money, or you need to verify a leaked audio clip before publishing, our AI voice detector gives you an instant authenticity score so you can decide what to trust. Every detection runs in your browser, so your audio is processed locally without automatic cloud storage.
Detects voices from leading AI models
How to Detect AI Voice in 3 Steps
Detect synthetic audio in 3 simple steps — no technical setup required.
Upload your audio
Drag and drop an MP3, WAV, M4A, or FLAC file up to 10MB. No account is needed and nothing is stored on our servers.
AI spectral analysis
The model examines harmonics, spectral fingerprint, and prosody naturalness across the full clip. This stage takes a few seconds while the engine compares your audio against known synthesis patterns from major voice AI models.
Instant authenticity report
You receive a clear Real vs AI score with a breakdown of the three detection signals. The whole process completes in seconds, and you can run as many files as you want through the AI voice detector.
How AI Voice Detection Works
Every voice carries two layers of information: what is said, and how it is produced. AI voice detectors focus on the second layer — the physical and statistical fingerprints left by the speech production process. Synthetic speech generated by AI models reproduces the words, but it leaves subtle traces in the acoustic signal that a trained detector can measure and score.
Spectral Fingerprint Analysis
When a person speaks, their vocal tract shapes a unique pattern of frequencies that shifts naturally across each word. AI-generated voices reproduce these frequencies, but voice cloning models smooth out micro-variations that real human anatomy always produces. Our detector compares the spectral envelope of your audio against known synthesis patterns from major voice AI platforms, flagging the telltale flatness and periodic artifacts that synthetic speech leaves behind — even when the cloned voice sounds perfectly natural to a human ear.
Prosody Naturalness
Prosody is the music of speech — rhythm, stress, pitch contour, and the tiny pauses between thoughts. Real human speech is slightly imperfect: we hesitate, we speed up on familiar words, we drop syllables under emotion. Synthetic voices, by contrast, tend toward a consistency that no real speaker achieves. Our AI voice detector measures prosodic variability across the clip and identifies the statistical signatures of machine-generated speech, which remains too uniform across sentences that a human would deliver with natural fluctuation.
Background Noise Consistency
Every real-world recording captures ambient sound — room acoustics, HVAC hum, microphone self-noise, breath sounds. This noise bed changes naturally as the speaker moves, pauses, or shifts position. AI-generated voice, produced in a purely digital environment, either lacks this noise bed entirely or applies it as a static layer that does not breathe with the speech. Our detector analyzes the noise floor behavior across your clip, catching the unnatural consistency that reveals a synthesized recording.
Real-World Use Cases
From family scam defense to newsroom verification, confirm voice authenticity before taking action.
Family scam defense
Voice cloning scammers commonly impersonate a relative in distress, asking for gift cards, wire transfers, or account credentials. If a call feels off, save the voicemail and run it through the detector. A high AI score is a strong warning to verify the request through a separate channel before sending any money. A reliable
News and media
Journalists receive anonymous audio tips and leaked clips every day. Running a suspicious file through a
Creator identity
Podcasters, voice actors, and streamers face unauthorized voice clones that can damage their brand. The detector helps creators spot when their voice has been synthetically reproduced without consent, and gives them evidence to send to platforms when filing a takedown.
HR and screening
Recruiters conducting phone or video interviews can confirm that the candidate on the call is the same person who applied, not a synthesized voice reading scripted answers.
Why Use an AI Voice Checker
Not every synthetic voice sounds robotic. Modern voice AI produces speech that is nearly indistinguishable from a real human, which makes manual detection unreliable. An AI voice checker removes the guesswork by measuring three objective signals that synthetic audio cannot easily fake: spectral fingerprint artifacts, prosody naturalness, and background noise consistency. These signals combine into a single authenticity score you can act on.
This is why an AI voice detector beats guesswork in any setting where the voice matters — a fraud attempt on a family member, a leaked clip in a newsroom, or a candidate on a screening call. The score it returns is consistent, explainable, and immune to the bias that creeps in when a listener wants to believe a voice is real.
Instant detection
Most audio files return a result in seconds. There is no queue, no waiting room, and no upload to a remote processing server.
High accuracy
On clean studio audio, the detector confidence is above 90%. Accuracy is lower on compressed or phone-quality recordings, so the tool always reports a confidence level alongside the score.
Free and private
No signup, no credit card, and no data retention. Your audio is processed locally for the report and not retained on our servers.
Frequently Asked Questions
Everything you need to know about AI voice detection.
Try the AI Voice Detector Now
Upload an audio file and get an instant authenticity score. Free, private, no signup.