Junkman: A.I. SMS Spam Blocker 4+

Kerem Erkan

    • 4.7 • 63개의 평가
    • 무료
    • 앱 내 구입 제공

스크린샷

설명

Junkman is the most powerful SMS filtering app for iOS. It can classify incoming messages as normal, junk, transaction or promotion. It will not classify old messages. It works completely locally on your device without the need for any network connectivity. It is written to filter all kinds of unwanted text messages, including betting, political, scam messages and company advertisements.

Junkman primarily uses a state-of-the-art machine learning algorithm called Smart Filter, that is trained with thousands of messages in English and Turkish languages. This results in an artificial intelligence which can classify the message contents. The Smart Filter can differentiate between normal (conversations etc.), transaction (bank OTP messages, shipping information, doctor appointments, etc.) and junk (promotional, gambling, unsolicited, spam etc.) messages instantly. It treats all promotion messages as junk.

Junkman also has a spam and threat database with special filters to detect and filter the most invasive junk messages without the need for the Smart Filter.

In case you would like to override the classification of the automated filters, you can add rules to one of the Allowed, Junk, Transaction and Promotion lists in the app.

The rule lists let you write much more powerful rules than most of the competing apps. They can work on both the sender or the content of a message and they accept any input including regular expressions (Regex). They are also simpler to manage than other apps.

If you think the Smart Filter did not classify one or more messages correctly, you can report them from the Messages app (iPhone only) for review. The more wrong classifications you report, the better the Smart Filter gets!

Features of Junkman:

• Smart Filter: A state-of-the-art machine learning algorithm that can classify any message in English or Turkish as normal, junk or transaction
• Spam and Threat Database: A database that includes special filters which can be updated immediately using instant notifications when necessary
• Aggressive Filter: A special algorithm to directly filter the most invasive junk messages without the need for the Smart Filter
• Rule lists, supporting any input, including powerful regular expressions (Regex)
• Under Attack Mode: A mode that can help with text message attacks
• Reporting Extension support to report messages that you think were not classified correctly by the Smart Filter (iPhone only)
• Configuration testing that lets you check any message to see the classification in real time
• iCloud sync support for sender lists to sync information between your devices
• Silences notifications for junk messages on Apple Watch
• Detailed VoiceOver design for better accessibility support
• Dark mode support
• Interoperability with Begone - Spam Call Blocker and Directory

Junkman is the successor of SMS Checker app.

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Junkman works completely locally on your device. It does not collect, store or transmit any data you enter into it. It does not collect, store or transmit any information from the messages it filters. Junkman respects the privacy of its users with utmost importance.

End user license agreement: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

새로운 기능

버전 10.5

If Junkman stops filtering messages after an update, please reboot your device.

Thanks to everyone for their positive reviews and support.

• Updated Smart Filter
• Ajout de mises à jour mineures de l'interface utilisateur

평가 및 리뷰

4.7/5
63개의 평가

63개의 평가

Timmyb824 ,

Just what I was looking for!

Since experiencing a text bombing incident a few years ago, I have constantly dealt with unwanted junk messages. Shortly after that happened, Google/Android made improvements to their messaging app to filter out these messages. It was quite effective, and I received very few junk messages. Fast forward to this year, and I switched to an iPhone. Unfortunately, Apple's Messages app does not filter out these messages. I was receiving numerous junk messages every hour, which became quite bothersome. I tried a few apps, but they were not effective. Fortunately, I found Junkman, which has fulfilled my expectations. It successfully filters out the junk messages, and whenever it mistakenly filters something important, I simply create a filter for it. The regex functionality is particularly useful for handling more complex scenarios. I even sent a few dollars to the developer because I would have willingly paid for this app.

RDP94 ,

Just what I wanted

Thus far I have been using Junkman solely to silence SMS that contain words that I specify. These include ads using the name of someone whose phone was assigned my number in the past; political solicitations; and more. The app I was using for this previously stopped working. But Junkman has performed the task flawlessly. And it is more versatile, e.g. allowing you to specify whether the rule you create requires a partial match or an exact match. One caution is that if something seems like it’s not working, be sure you have checked every setting. (Without getting too specific, there were cases where I thought that disabling option “A” automatically disabled seemingly-related option “B,” but it didn’t.) Soon I will try the other capabilities.

OldScoolTexan ,

Thanks, Junkman!

Junkman, thank you for saving my sanity! Within a day before and after the big presidential debate, I received at least 15 junk political messages, making me crazy and disrupting my life. As soon as I installed your app, they immediately started going to a junk folder instead of my inbox! At your current price, the app is completely worth it. (Even got you a teapot as a thank you!) I request and truly hope that you do not do your customers dirty like the big name spam filter service that nearly quadrupled their price after one subscription year. Great app, it actually works!!

개발자 답변 ,

Thanks for your review. Don’t worry, you won’t encounter problems like that with Junkman. I hope you can share it with your acquaintances.

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