SMS Checker - Junk Filter app for iPhone and iPad

SMS Checker is an app that will help you fight junk text messages. It gives you a definitive solution with its smart filters that are created using machine learning.

SMS Checker is a powerful solution against junk text message senders ranging from scammers to phishers, with its smart filters and flexible rule structure.

Also, it presents the most effective solution against phishing attacks, the most dangerous message types. Phishing attack definitions are sent to your device using push notifications as soon as they are detected, and start being filtered without the need to update the app.

You can use the app with manual rules that you add, with the on device smart filter that you can activate through a one time in app purchase for Turkish language, and with the currently free online smart filter to filter out annoying junk messages. Offline smart filter for English language will be added to an upcoming update.

When SMS Checker is enabled, junk messages will land on a list called "SMS Junk" on your Messages app, without any audible notification or vibration. You will only the see message count banner on the Messages app.

With the new SMS/call reporting feature on iOS 12 and later, you can report messages directly from the Messages app and block the sender. Also, you can easily block a caller from the Phone app with two taps.

Notable features:

• On device smart filter supporting Turkish, created using machine learning (a paid in app purchase)
• Online smart filter supporting multiple languages including English, created using machine learning
• Special filter against phishing attacks
• Ability to report messages to train the smart filters
• Ability to report messages and block senders and callers directly through the Messages and Phone apps on iOS 12 and later
• Flexible rules that can be created in many combinations and work on both the sender or body of the message
• Filtering settings that are suitable for all conditions
• Answers to frequently asked questions and descriptions