About Us
ScamLens AI: Privacy-first scam detection
ScamLens AI is a free, browser-based scam checker designed to help people identify phishing attempts, fraud messages, and suspicious links before they become victims of online scams.
Our Mission
We believe everyone deserves access to tools that help protect them from online fraud. Scams are becoming increasingly sophisticated, targeting people through SMS, email, WhatsApp, and fake websites. Our mission is to make scam detection accessible, private, and free for everyone.
Why We Built ScamLens
Most scam checkers require you to upload your potentially sensitive messages to external servers, creating privacy concerns. We took a different approach: all analysis happens locally in your browser using JavaScript pattern matching. Your data never leaves your device.
ScamLens AI uses rule-based detection to identify over 20 common fraud signals including urgency tactics, impersonation attempts, suspicious URLs, payment requests, and known phishing patterns. While not 100% accurate, it serves as an important first line of defense.
Our Principles
Privacy First
We never collect, store, or transmit the content you analyze. Everything runs locally in your browser.
Always Free
Scam protection should be accessible to everyone. ScamLens will always be free with no premium tiers or paywalls.
No Registration Required
Start checking for scams immediately without creating an account, providing an email, or sharing any personal information.
Transparent Detection
We show you exactly which signals triggered our analysis, helping you learn to recognize scams yourself.
Limitations
ScamLens uses rule-based pattern matching and is not a perfect solution. It will miss some scams and may flag some legitimate messages. We recommend using ScamLens as one of several security practices, including:
- Verifying sender identities through official channels
- Never sharing sensitive information via SMS or email
- Using two-factor authentication where available
- Keeping your devices and software updated
- Consulting with security professionals for important decisions
Open Source & Community
We're committed to transparency. You can inspect the detection logic by viewing the page source in your browser. We welcome feedback and suggestions to improve our detection patterns.
Questions or Feedback?
We'd love to hear from you. Whether you have suggestions for improving detection, found a false positive, or want to report a new scam type, get in touch.
Contact Us