Free Deepfake Detector
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Diopter's deepfake detection tool analyzes audio, video, and images, and shares a verdict, confidence level, and evidence for your team to review.
Know what is real or fake instantly
Diopter's deepfake detector flags synthetic media and gives you a verdict, a confidence level, and the signals behind it, so you can make decisions supported by evidence.
- A verdict: Likely Synthetic or Real
- A confidence level and detection score: Shows how much the available evidence supports the verdict
- Suspect region: An overview of suspect regions detected in the file.
- Signal-by-signal breakdown
- Analyzer timeline
- Unlisted shareable link for colleagues
- Option to request expert review
For example, the tool can help to check a voice note before approving a payment, or a recorded interview before making an offer.
Why choose Diopter's deepfake detector?
Diopter is built for teams that need synthetic media detection to support a decision and not just classify a file.
Why teams run their files through Diopter:
Multiple signals are analyzed together
The video analysis looks at the temporal signals such as blink rates, micro-expressions, and motion artifacts. Audio analysis examines spectral characteristics, including formant irregularities. Image or generator analysis looks for fingerprints associated with known generation tools.
Results in under 60 seconds
Diopter's public detector provides a verdict in under 60 seconds, giving teams a quick way to review suspicious files before making a decision.
First detection free, no sign-up needed
The public detector accepts files up to 200 MB, and the first detection is available without sign-up.
Trained against the tools attackers actually use
Every generator leaves a signature. Diopter retrains its detection models against updated and widely used generation systems.
The detector recognizes known generation signatures from tools such as HeyGen, ElevenLabs, RunwayML, Stable Diffusion, DALL-E, Midjourney, Sora, XTTS, RVC, Kling, Luma, Pika, Synthesia, and D-ID. The coverage spans video, audio, and image generation. That gives teams a way to check files created or altered using different types of generative systems without limiting the workflow to one media format.
Deepfake detection coverage
The detector checks three media types, and each has its own dedicated tool.
| Media | Supported formats | Modality-specific tool | What is analyzed |
|---|---|---|---|
| Video | MP4, MOV, WEBM | Deepfake video detector | Facial movement, blink rates, micro-expressions, motion artifacts, and generator signatures |
| Audio | MP3, WAV, M4A | Deepfake audio detector | Spectral characteristics, formants, synthetic-voice patterns, and generator signatures |
| Image | JPG, PNG, WEBP | Deepfake image detector | Image-level manipulation signals and generator fingerprints |
Only need to check if a file is AI-generated? Use our free AI video detector, AI voice detector, or AI image detector.
What the confidence score means
How does Diopter's deepfake detector work?
Upload a file
Drag in voice notes, video clips, or images. Files up to 200 MB are supported.
Multi-signal analysis
We check your file for deepfake signatures on temporal, spectral, generative, and auditory levels at once.
- Temporal
- Blink rates, micro-expressions, and motion artifacts
- Spectral
- Formant irregularities below human perception
- Generators
- Fingerprints matched against HeyGen, ElevenLabs, Stable Diffusion, Sora, and more
Get your verdict
A verdict, a detection score, a confidence level, and a suspect-region overview. Sign up for the signal-by-signal breakdown and expert review.
Who uses a deepfake detector
A deepfake detection tool can support several workflows where submitted media can have potential impact on financial, identity, hiring, or content decisions.
Enterprise security teams
A voice note, video clip, or image is received from a trusted source with an urgent ask. Voice-clone and deepfake-video scams can look convincing enough to pass identity checks and trigger wire transfers. Run the file before you act, because an executed transfer may not be recoverable.
Fraud and risk teams
A recorded call or voice note from an executive pushes a payment or exception outside normal channels. The $25.6M Hong Kong incident in 2024 ran exactly this play. Treat any recorded authorization like a wire transfer: verify it is real before you execute.
HR and talent acquisition teams
A remote candidate interviews over video for a role involving system access, financial operations, or sensitive data. Deepfake interview scams are making it harder to know who is really on the other side of the screen. Deepfake interview fraud rose 220% year over year in 2024. Check the recording before you extend an offer.
KYC and identity verification teams
A liveness-check video, onboarding selfie, or ID scan clears your biometric match on paper. AI-generated faces now pass standard liveness checks often enough that major KYC providers added secondary layers. Run submitted media as a second signal before the identity is accepted. It does not replace biometric checks or other steps already in your onboarding process. It adds one more signal before the identity decision is made.
News, media, and trust and safety teams
A video or image of a public figure, colleague, or contact is circulating and something is off. Deepfakes spread faster than corrections. Check the file before you share, report, or respond.
Why deepfake detection matters.
The incidents are public. The losses are documented.
In 2024, a finance worker at a Hong Kong multinational joined a video call where every face on the screen was fake. The CFO. The colleagues. The counterparties. All of them deepfakes. He approved 15 wire transfers worth $25.6 million before anyone realized the only real person on the call was him.
In 2020, a bank manager approved a $35 million transfer based on a voice that sounded like a director he knew. The voice was later found to be AI-generated, but by then, the money was already gone.
Eleven seconds of audio is enough. That is all current voice-cloning tools need to rebuild a voice that fools a human listener more than 85% of the time. It does not sound close. It sounds like them. That is the point.
Check it before you act on it.
What does a deepfake detector do?
Deepfake detection software analyzes digital media for signs of AI generation or manipulation. Depending on the media type, those signals can appear in facial movement, audio spectra, image-level artifacts, or fingerprints associated with known generation systems.
The purpose is not simply to label a file. It is to help a person or team decide whether submitted media should be trusted, reviewed, or investigated further. This matters in areas where media is being used as evidence of identity, authorization, or employment, or in any business decision.
For example, a cloned voice can appear in a payment request or a synthetic candidate can appear in a remote interview. A deepfake detector gives teams a way to analyze the media itself instead of relying only on the context in which it was received.
Deepfake Detector FAQs
Deepfake detection tells you whether a video, image, or audio file was generated or altered by AI. You get a verdict, Likely Synthetic or Real, a detection score, a confidence level, and an overview of suspect regions.
No. Your first detection is free and returns a verdict, confidence score, and suspect-region overview with no sign-up. Create a free account for the signal-by-signal breakdown and expert review.
Yes. Fraud, KYC, and compliance teams verify suspicious media before acting. The enterprise platform fits the detection into your triage, case management, and identity workflows.
That is exactly the threat it was built for. Cloned executive calls, deepfake authorization requests, synthetic job candidates, AI-voice vendor fraud: each produces a file you can submit. Check the recording before you act on the instruction it contains.
The public detector scans recorded media. For real-time protection on Zoom, Teams, Google Meet, and phone calls, talk to our team about the Diopter enterprise platform.
The public detector supports MP4, MOV, WEBM, MP3, WAV, M4A, JPG, PNG, and WEBP files, up to 200 MB. To check one format, use the AI video detector, AI voice detector, or AI image detector.
The public detector accepts files up to 200 MB and includes a limited number of free scans. If you need to check larger files or run more scans, email us at hello@diopter.ai or fill in the contact form with a short note on what you need to check, and we'll guide you.
Detection models are trained against outputs from commonly used AI generators, such as HeyGen, ElevenLabs, RunwayML, Stable Diffusion, DALL-E, Midjourney, Sora, XTTS, RVC, Kling, Luma, Pika, Synthesia, and D-ID.
The tool can provide results in under 60 seconds.
The detector works across languages and accents for audio deepfake detection. It focuses on synthetic patterns and voice characteristics rather than the words spoken.
Research behind deepfake detection
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Real-time deepfake protection for Zoom, Teams, and phone calls.
The detector you just used is part of the Diopter platform, built for live-call voice and video defense at the executive, finance, and hiring layer.