Deepfake Detector
VerifiedCheck whether a voice clip, video or image is real or AI-generated
Product preview
Deepfake Detector
What it is
Deepfake Detector is a media verification service from Deepfake Detector Inc., based in Montreal. Users upload a voice recording, video clip or image, and the system estimates whether it is authentic or synthetic, returning a verdict such as Authentic, Likely Synthetic or Inconclusive along with a confidence score and the signals it weighed. Video is analyzed frame by frame, with clips up to ten minutes on paid plans. A browser extension lets people check media directly on a web page, and developers can call a single REST endpoint with SDKs for Python, Node, Go and Ruby. It serves individuals worried about voice-clone scams as well as newsrooms, fact-checkers and KYC teams.
Key features
- AI video, image and voice detectors
- Verdicts with confidence scores and signals
- Right-click browser extension
- REST API with webhooks and SDKs
What we liked
- + Covers audio, video and images in one place
- + Free plan with 50 detections a month
- + Explains the signals behind each verdict
Worth noting
- · Results are probabilistic, not definitive
- · API access starts on the $49 Starter plan
Editor's notes
More context from AI BirdView
As voice cloning and synthetic video get easier to produce, a quick second opinion on suspicious media has real value. Deepfake Detector bundles separate detectors for voice, video and images behind one interface, and it is candid that its output is a probability rather than proof. Each result comes with the signals that drove the verdict, which helps users judge how much weight to give it.
- Separate detectors tuned for voice, video and still images
- A browser extension for checking media without downloading it
- PDF and CSV export of analyses on paid plans
- One REST endpoint plus webhooks for longer files
- Files purged after analysis, with EU data residency on higher tiers
It is best for fraud, identity and newsroom teams that need a repeatable screening step, and for individuals who want to sanity-check a suspicious voice message. A practical tip: treat Inconclusive results as a prompt for manual verification, such as calling the person back on a number you already know. Testing a few known-real and known-fake samples first also helps you learn how the scores behave on the kind of media you handle.
Reader reviews
From people who've used Deepfake Detector. Emails are never shown publicly.
No reviews yet. Be the first to share your experience.
Alternatives to Deepfake Detector
Other tools we like in this space.
Copyleaks
Detect AI writing and plagiarism with forensic accuracy
Originality.ai
The publisher's AI-content and plagiarism watchdog
GPTZero
The AI detector that started in a dorm room