Deepfake Audio Detector
Verify real vs. fake audio in just 60 seconds.
Upload MP3, WAV, M4A files to our free AI voice detector and uncover audio deepfakes in under a minute. Detect synthetic voices and AI-manipulated recordings with secure, end-to-end encrypted analysis.
Three steps from file to verdict.
Upload audio
Add your voice recordings in MP3, WAV, M4A format, up to 200 MB. Agree to the terms and get a verdict in under a minute.
AI analysis
The voice-clone detector examines your audio against known synthetic signatures.
- Spectral
- Formants, pitch patterns, and spectral characteristics
- Vocal
- Micro-timing and artifacts below human hearing
- Generators
- Signatures matched against ElevenLabs, XTTS, RVC, and more
Get your verdict
A synthetic-media verdict with a detection score and confidence level.
Likely Synthetic (High) means strong evidence of AI manipulation and warrants a hold. Likely Synthetic (Low) suggests further review. Real (no AI) means no synthetic media was detected.
Who uses the deepfake audio detector.
Six teams that verify a recording before they trust the voice on it.
Contact centers & IVR teams
Detect AI-generated voices entering customer interactions and strengthen trust across communication channels.
KYC & identity verification teams
Add a verification layer by analyzing suspicious voice samples during onboarding, authentication, and identity confirmation.
Customer authentication & fraud teams
Prevent account takeovers by identifying audio deepfakes, voice impersonation attempts, and fraudulent access.
Enterprise security teams
Monitor synthetic-voice threats across channels and strengthen defenses against AI-powered social engineering.
Law enforcement & cybercrime units
Support investigations by analyzing audio evidence and identifying AI-generated or altered recordings.
News & media organizations
Screen submitted audio clips before publishing sensitive reports or public communications.
Why this detection matters.
Voice cloning is cheap, fast, and convincing, and it is already clearing real transactions.
In 2020, criminals used a cloned voice to impersonate a company director and convinced a bank manager in Hong Kong to approve transfers worth about $35 million. Forensics confirmed the call was synthetic only after the money had moved.
Scammers later posed as Ferrari's CEO using an AI-generated voice to push a fake acquisition. That attempt failed only because an executive caught a few small inconsistencies. A few seconds of source audio is now enough to rebuild a voice that sounds like the real person.
Verify every suspicious recording before you act.
Why use the Diopter AI voice detector.
Fast, secure, and tuned to the way synthetic media actually fails.
Quick audio identification
Suspicious audio files are analyzed in about 60 seconds, with fast, clear insight into likely voice cloning.
Secure end-to-end processing
Your audio stays protected from upload to analysis with end-to-end encryption.
Cloned-voice detection
The detector examines vocal structure, pitch shifts, and spectral characteristics that the human ear cannot catch.
Trained against the tools attackers actually use.
Retrained against updated generator outputs before a new model reaches widespread deployment.
Explore other deepfake detection tools.
Same detection stack, tuned for each kind of media.
Deepfake Video Detector
Spot face swaps and AI-generated video by analyzing facial geometry, lip-sync, blink patterns, and motion artifacts.
Analyze videoDeepfake Image Detector
Check images for AI generation and manipulation using generator fingerprints, pixel irregularities, and suspect-region analysis.
Scan an imageDeepfake Audio Detector FAQ.
Real-time voice defense for live calls.
This detector is part of the Diopter platform, which adds live-call monitoring, conversation scoring, and real-time multi-modal detection so your team can catch synthetic voices as conversations happen.