Screenshots can be forged. Emails can be spoofed. Payments can be faked. ScamLens analyzes anything suspicious and tells you what's real, in seconds.
One upload. Six layers of analysis. Every suspicious indicator surfaced and explained in plain language.
Detects pixel manipulation, font inconsistencies, metadata tampering, and image splicing in payment confirmations, receipts, and conversations.
Analyzes sender reputation, link destinations, language patterns, and urgency tactics that mark sophisticated phishing attempts.
Identifies social engineering patterns, too-good-to-be-true offers, pressure tactics, and impersonation in texts, DMs, and chats.
Spots forged Zelle, Venmo, and CashApp confirmations. Catches fake invoices and fraudulent payment requests before you lose money.
Flags AI-generated images, manipulated audio, and synthetic video. Coming soon: real-time video call verification.
Detects when someone is pretending to be a business, authority figure, or known contact. Cross-references against known impersonation patterns.
Screenshot, email, text message, PDF, audio clip, or URL. Drag it in or paste it.
Metadata integrity, visual manipulation, language patterns, sender reputation, known scam templates, and behavioral signals.
A clear 0-100 score with specific risk labels, plain-language explanations, and recommended next steps.
ScamLens is building a world where anyone, from freelancers verifying payment screenshots to grandparents checking suspicious texts, can know what's real. No jargon. No expertise required. Just clarity.