Blocking every SMS that contains a word requires a manual rule feature. Automatic message classification is a different approach. AntiSpam’s published product information describes on-device AI analysis. This guide does not promise a feature for creating your own keyword blacklist.
A word does not tell the whole story
A keyword rule applies an action when your chosen text appears. “Filter anything containing bonus” sounds straightforward. Yet the same word could appear in an unwanted betting promotion and in a loyalty offer from a shop you actually use. The word alone does not establish whether the message is useful to you.
The reverse can happen too: an unwanted message can describe the same offer without using the word in your rule. Different wording, punctuation or spaces can change a simple match. These are illustrative examples, not demonstrations of how AntiSpam would classify a particular message.
Automatic classification aims to evaluate patterns beyond a list that you write yourself. It can still make mistakes. An “AI” description should not be interpreted as a promise to catch every spam message or preserve every legitimate message in the main inbox.
Choose the feature that matches your goal
Before choosing an app, identify what you want to control:
- One particular sender: blocking that number may be the direct solution.
- Advertising from a familiar business: review its İYS marketing permissions.
- Similar spam from changing senders: consider content classification.
- Your own exact keyword rules: confirm that the app explicitly documents a manual rule feature.
Do not infer support for a particular rule type just because an app is described as a blocker. A sender block, a user-maintained word list and automatic analysis are distinct capabilities.
Understand the iPhone filtering boundary
Apple’s message filtering framework lets an extension assess eligible messages from unknown senders. It is not a general automation tool that can apply arbitrary actions to every conversation in Messages. Apple’s developer documentation.
That matters when testing: asking a saved contact to send you a sample sentence may not exercise the filter under the right conditions. Check the setup steps, message type and sender status before concluding that an application is inactive. This page does not establish AntiSpam support for filtering RCS or iMessage.
Review messages that matter to you
After choosing a filter, check where expected messages appear over the following days. This provides a more useful picture of suitability than a single artificial test. When waiting for a verification text, look in the relevant Messages sections instead of relying only on notifications.
If you contact support, explain the pattern without sending a one-time code, account number or private conversation. You can report that “a delivery notification went to the wrong section” and include the iOS version and filter setting before sharing any message content.
See AntiSpam’s current features on the App Store and use the setup guide to enable it. These examples focus on the SMS problems experienced by users in Turkey; they are not a claim of equivalent performance in every language.