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Scam Message Analyzer
Check suspicious texts with our scam message analyzer.
6 followers
Check suspicious texts with our scam message analyzer.
6 followers
My goal is to reduce scam victims and make digital communication safer using AI. Because online scams are exploding and hurting millions of people every day — especially the elderly, non-tech-savvy users, and those in developing countries. I’ve seen friends and family nearly fall victim to sophisticated scam messages.
How well does it handle scams in languages other than English, especially for folks who mostly text in their native language?
@gulhana12232 Right now, Scam Text Analyzer is designed for English scams only. It works best with English text patterns, keywords, and phrasing. For other languages, results may be limited or inaccurate since the detection logic isn’t trained on non‑English data. Expanding to multi‑language support is on the roadmap, but the current version focuses on English to ensure accuracy and reliability.
Does it actually scan messages in real time across SMS, WhatsApp, and email, or do I have to copy paste stuff in manually to check it?
@efecybi Right now, Scam Text Analyzer does not scan messages in real time across SMS, WhatsApp, or email. Instead, you need to copy and paste suspicious text into the tool manually to check it. This design keeps it lightweight, private, and easy to use without requiring device permissions or integrations.
Future updates may explore real‑time integration, but the current version focuses on accuracy and simplicity through manual input.
Really impressed by how it caught a subtle phishing text my mom got last week, the kind that looks legit at first glance. The breakdown explaining red flags was clear and actually helpful instead of just flagging it.
@fakkelek20444 That’s fantastic feedback—thank you for sharing it! The goal of Scam Text Analyzer is not just to flag suspicious content, but to explain the red flags clearly so people understand why a message is risky. Hearing that it helped your mom spot a subtle phishing attempt shows it’s doing exactly what it was built for: making scam detection more practical and empowering for everyday users.