About deepeye by deepidv
deepeye is a deepfake detection tool built by deepidv, available as a free Chrome extension and a WhatsApp integration. It flags AI-generated and manipulated images, video, and audio in real time as you browse, checking profile photos, video calls, and voice notes without requiring uploads or a separate dashboard. The detection models are built in-house and sharpened through a data-sharing partnership with Scam.AI.
Review
deepeye takes a different approach from most detection tools by embedding itself directly into the browser and messaging apps where people encounter synthetic media. Instead of asking users to visit a dashboard and upload files, it runs checks in the background and surfaces verdicts on the spot. The tool is free at launch, which lowers the barrier to trying it, though it's early and the team is still gathering feedback on detection accuracy across different media types.
Key Features
- Chrome extension that scans images, video, and audio on any webpage as you browse, including LinkedIn profiles
- WhatsApp integration that accepts forwarded images, video, or voice notes and returns a verdict within seconds
- Real-time detection with no file uploads and no separate dashboard required
- Optional premium module powered by Scam.AI, letting users run deepidv's detection, Scam.AI's detection, or both
- Call protection layer built on Twilio for detecting cloned voices during live phone calls
Pricing and Value
deepeye is currently free on Chrome and WhatsApp. The Scam.AI detection module is available as a premium add-on, though specific pricing for that module has not been disclosed. The core detection features remain free at this stage, and the team has not announced plans to change that.
Pros
- Runs detection where users already encounter content-no need to switch contexts or upload files manually
- Partnership with Scam.AI means the detection models train on shared datasets, which could help keep pace with new synthetic media
- WhatsApp support covers voice notes, not just images and video, which is less common among detection tools
- Free tier includes the core detection engine without requiring an account or payment
- Built by a team with prior exits and in-house model development, reducing reliance on third-party APIs
Cons
- Detection accuracy metrics have not been published, so users can't gauge false positive or false negative rates yet
- No Firefox, Telegram, or email integration at launch-the roadmap mentions these as possibilities based on user feedback, but they aren't available now
- Not well suited for enterprise compliance teams needing audit trails or integration with existing fraud stacks-the tool is consumer-focused and doesn't expose an API or dashboard
deepeye fits best for individual users who want a lightweight, passive check on the media they encounter while browsing or messaging. It's also worth a look for small teams that deal with a high volume of unsolicited LinkedIn connections or WhatsApp messages and want a quick second opinion without adding another workflow. Organizations that need documented verification trails or integration with identity platforms will likely find the parent product, deepidv, more relevant than this consumer-focused extension.
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