Out of 248+ scam detector app on iOS, 19 are free and the rest sit in the paid tier. This page sorts them so you can compare both sides before you commit.
This app helps you identify and understand potential scams by analyzing suspicious text messages, emails, and photos. It provides detailed insights, explanations, and a confidence score to help you stay safe from fraudulent activities.
This app uses AI to analyze texts, links, QR codes, and images, helping you identify potential scams instantly. It provides clear risk assessments and guidance to help you make informed decisions and stay safe online.
This app offers AI-powered protection against scams, spam calls, and phishing attempts. It includes a call blocker, caller ID, and a scanner for links, texts, and emails to identify risks. It also provides security checks and guidance to enhance your device's overall safety.
Scam Detector & Analyzer tops our scam detector app ranking as of September 2026, with a 5.0-star average from 8 App Store ratings, and it's free to download.
Are there free scam detector app for iPhone?
Yes — 19 of the top scam detector app we rank are free to download, including Scam Detector & Analyzer and Scam Detection & Analyzer.
Does Scam Detector & Analyzer have ads or in-app purchases?
Scam Detector & Analyzer shows ads and offers in-app purchases, according to its App Store listing as of September 2026.
How many scam detector app are on the App Store?
We track 248+ scam detector app on the iOS App Store as of September 2026, ranked by rating, recency, and analysis of real user reviews.
What types of messages can Scam Shield & Analyzer scan?
Scam Shield & Analyzer can scan text messages and emails. Photo analysis is also mentioned as coming soon. The app uses advanced algorithms to detect scams within these communications.
How does Scam Shield & Analyzer determine if something is a scam?
The app utilizes advanced algorithms and machine learning to analyze the content of messages. It provides detailed insights and a confidence score to indicate the likelihood of a message being a scam.