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.
By uploading a file you agree to the Terms of Service and Privacy Policy.
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 deepfake 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.
Yes. It supports audio across languages and accents, focusing on voice characteristics and synthetic patterns rather than the words spoken.
Yes. Your first deepfake audio detection is free. Upload a supported file (MP3, WAV, M4A), run the analysis, and review the result. No payment is required to start.
The detector scores audio on the strength of detected synthetic patterns. Likely Synthetic (High) means strong signs of synthetic audio. Likely Synthetic (Low) means possible synthetic elements, and a higher-quality copy may help. Real (No AI) means no synthetic media was detected.
Yes. It can analyze short clips (within the 200 MB limit) and still surface subtle voice patterns and synthetic markers that point to possible manipulation.
The tool works through uploads for quick checks. To explore the enterprise platform and real-time audio detection, connect with our team.
Research behind voice deepfake detection
All research →What Is Deepfake Audio? 10 Detection Methods That Actually Work
A forensic breakdown of the 10 deepfake audio detection methods fraud teams need in 2026: what each catches, where it breaks, and how to layer them.
Best AI Deepfake Audio Detection Tools of 2026
The 10 best AI deepfake audio detection tools of 2026, sorted by what each is actually built for, plus how to test one on your own call channel.
Caller ID Spoofing: How Fraudsters Impersonate Banks
Caller ID spoofing lets fraudsters display a bank's real number paired with an AI voice. Learn how these scams work and how to stop them.
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.