Fakeradar
Fakeradar
Fakeradar is a tool designed to protect your sensitive data by detecting deepfakes in real-time during video calls. It ensures that you are speaking with a real person, not a deepfake, providing confidence and security in every conversation.
How it works
- Operates in real-time during video calls on platforms like Zoom, Google Meet, Teams, and Discord.
- Ensures full privacy by not recording, accessing audio, or storing data.
- Instantly detects deepfakes, static photos, and suspicious signals.
- Currently protects against 8 deepfake generators, with more being added.
Who it’s for?
- Recruiters: Avoid fake candidates in interviews.
- Fintech & banks: Verify high-risk clients.
- Any team running video calls: Protect against fraud.
Coming next
- Voice deepfake detection & synthetic text analysis
- A unified anti-fraud platform combining video, audio & text in real time
- Adaptive learning system that auto-updates as new deepfake methods appear
- Behavioral analytics: pauses, facial expressions, speech patterns
- A global database of deepfake “fingerprints”
- API for banks, governments & enterprises to provide large-scale fraud protection
We’d love your support, feedback, and ideas! Try today and make sure every video call you make is with a real person.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
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