Text Spam Arrest
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About
Text Spam Arrest is an automatic spam filtering tool designed for mobile devices, utilizing AI to discern unwanted text messages without requiring manual keyword inputs. The app classifies non-spam messages into multiple categories, providing users with organized message management. Developed by handsfree.ly, it addresses various types of text message scams that caused significant financial losses in 2022. After installation, users can enable the app through their device settings to filter SMS/MMS messages from unknown senders, enhancing inbox organization by automatically sorting messages into folders such as Promotions, Transactions, Health, and more. It features an interface that's easy to navigate and has received positive reviews for its effectiveness and ease of use.
Platform
Task
Features
• easy installation and usage
• sorts non-spam messages into folders
• automatic ai spam filtering
• classifies messages from unknown senders into various categories
• no need for manual keyword inputs
FAQs
How do I enable Text Spam Arrest on my iPhone?
Go to Settings -> Messages -> Unknown & Spam. Click on 'Filter Unknown Senders' and select 'Text Spam Arrest'.
What happens to my existing messages on my iPhone?
Current messages are divided between 'Known Senders' & 'Unknown Senders' folders.
Do I need to enter keywords to keep up with the latest spams?
No, the app utilizes AI models that understand the nuances of language to identify spam.
What categories are SMS/MMS messages sorted into?
Messages are sorted into categories such as Promotions, Transactions, Health, etc.
Can I customize these folders?
Apple does not allow customization of folder names.
Do I need to run the Spam Arrest app in the background?
No, the app installs an extension that operates in the background.
How can I report messages that are missed by your filter?
Use the Email tab in the app to report missed messages.
Pricing Plans
Basic
USD0.99 / one-time• Automatic spam filtering
• Organizes messages into categories
• No keyword input required
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