Text Spam Arrest 4+

Filter unwanted text messages


Designed for iPad

    • 5.0 • 7 Ratings
    • Free
    • Offers In-App Purchases



Automatic AI spam filtering (no manual keyword entry needed!). Also, non-spam messages sorted into sub-folders to reduce inbox clutter.

Per the FTC, the average scammed consumer lost $1,000 in 2022 to text message scams. This totaled to a whopping $330 million in consumer losses. And businesses, especially small biz owners, lost $660 million in 2022. We care about this & built this app to watch over your shoulder as a spam sentinel.

Text Spam Arrest uses an AI engine to detect spam. It has been trained on the entire English vocabulary. And also has seen every type of scam on the internet. These capabilities cover all the major sources of intrusion in your Messages inbox. These include the following 5 areas flagged by the FTC as the top ones of 2022:
Imposter Scams (posing as your relative or friend)
Online Shopping
Prizes, Sweepstakes, and Lotteries
Business and Job Opportunities

We have also built message classification for non-spam messages. All messages from unknown senders will be organized into separate folders. You can zoom in onto categories that matter to you and track your messages more effectively.

Here is how we classify messages from unknown senders:
- Promotions: Offers, promos, rewards for products or services
- Transactions: All other messages in one of the Subcategories below

Subcategories of Transactions include:
-Finance: Banking, Credit, Debit transaction messages
-Orders: Purchase orders, say from Amazon or Walmart or …
-Reminders: Appointment or booking reminders
-Health: Doctor, Dentist or Vet messages
-Weather: Earthquake or weather alerts
-Carrier: Your Internet or Wireless provider messages

After installing the app, go to Settings->Messages->Unknown & Spam. Click on the "Filter Unknown Senders" button. Then choose "Spam Arrest Filter"
To confirm these settings, now open your Apple Messages app. You should see all the folders we mentioned above.
NOTE: Spam filtering applies only to SMS/MMS messages from unknown senders not in your contacts list. Per Apple specs, it will not apply to iMessages.

End User License Agreement:
This app's usage conforms to Apple's End User License Agreement which can be accessed here: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

What’s New

Version 1.4

Clearer description of the app's capabilities, especially the fact that no manual filter keyword fiddling needed. Meaning, the app catches spam BEFORE it hits your inbox.

Ratings and Reviews

5.0 out of 5
7 Ratings

7 Ratings

ampro_2023 ,

Worth the $

App needs NO inputs from me! I mean…it figures out what’s spam or not automatically. And even organizes my inbox automatically.
I was tired of entering keywords in other “spam blocking” apps. Previously , every day meant new junk in my inbox. And updates to keywords to match those messages. This app does it automatically. No filters to setup.
It’s filters are very very good too! Highly recommend

steve8523 ,

Junk messages - no alerts!

I had posted an item for sale on FB marketplace. And had included my Zelle Id for payments. I was receiving 4-5 junk messages a day with suspicious URLs. This app caught all of them. Put them in a Junk folder.
It is also fantastic at separating out all my other messages. My prime shipment notifications go into an Orders folder. Doc reminders in Health. Love this simple app!

SusieDogLover ,

Message sorting magic

Whatever this AI stuff is that the app description states...its magic! All my fake banking/credit card/Amazon/apple pay... Messages disappeared overnight. These phishing messages were cluttering my inbox. Didn’t ask for anything during install-just started doing it's job

App Privacy

The developer, handsfree.ly, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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