Free AI-Powered Scam Detection

📸 Snap a pic or screenshot of any suspicious message, text, email, website, or DM and ScamWiz will let you know if it’s a scam or not.

🚫 Avoid and stay safe!

Features

🕵️‍♂️Fast Scam Busting - Know the truth ASAP.

📤Easy Peasy - No tech-speak, just upload & go!

🛡️Stay Safe - Dodge scams & protect yourself online!

🔒 We value your privacy. Uploaded images are used solely to analyze potential scams and are never shared with third parties or used for any other purpose.

See through Scams Instantly

Upload a screenshot or pic, we'll analyze it with AI to:

  • An indication of how likely it is that you're dealing with a scam attempt based on many factors.

  • ScamWiz pinpoints the specific type of scam you might be encountering (e.g., Phishing, Fake Online Store, Romance Scam) based on patterns and characteristics of common scams.

  • ScamWiz explains its reasoning, highlighting the specific elements that triggered a flag.

  • Based on the identified scam type, we suggest clear and actionable steps you should take to protect yourself (e.g., Report the scam, Block the sender, Do not click on any links).

Trending Scams

Learn About Common Scams

 FAQs

  • ScamWiz is a web service that helps users quickly and accurately determine whether they’re being scammed based on an image or screenshot of a document, text message, or conversation.

  • We take data privacy and security very seriously. Uploaded images and inputted URLs are not stored on our servers longer than necessary for analysis, and we adhere to industry best practices and relevant data protection regulations. Please refer to our Privacy Policy for more details.

  • Yes, ScamWiz is free to use for analyzing single images. For bulk images or documents or to have a trained specialist review, visit our Contact section and reach out!

  • ScamWiz uses advanced algorithms and machine learning techniques to analyze images and detect signs of malicious intent to ultimately help you make a more informed decision. Our service compares the input image to known patterns and characteristics of various scams.