This app uses advanced AI to block unwanted spam SMS messages and calls offline. It learns from user-submitted samples to improve its accuracy in filtering out advertisements, adult content, gambling, and other harmful information. Customize your blocking with blacklists, whitelists, and custom keywords.
Summarized from real user reviews of 拦截猫. Based on 105 reviews and a 3.9/5 average, it highlights the 26 positives and 17 negatives reviewers mention most about this Utilities app.
1.6.16
September 24, 2026
[优化] 股东卡片 UI [修复] 联网查询日志，不输出的问题 [修复] 购买时间不同步的问题 祝各位中秋节快乐！
More拦截猫年会员订阅，每年自动扣费
7 issues
Region blocking sometimes ineffective
Automatic library updates cause issues
15 requests
Hideable interface for hardware
Simpler app design
This application utilizes advanced AI technology to provide offline blocking of spam SMS messages and unwanted phone calls. It effectively filters out advertisements, adult content, gambling, and other harmful information by learning from a large dataset and user-submitted samples.
The AI works offline on your device, ensuring your data remains private and secure. It is trained on millions of phone numbers and tens of thousands of SMS samples. The app continuously learns and upgrades by incorporating user-submitted samples to improve its accuracy in identifying and blocking unwanted communications.
The app offers a freemium model with optional membership subscriptions. Options include a monthly subscription for 6 yuan, an annual subscription for 48 yuan, and a limited-time lifetime 'Shareholder Member' option for 168 yuan. Membership provides unlimited access to all features, future updates, and an ad-free experience.
Yes, the app prioritizes user privacy. It never accesses or collects sensitive personal information. All spam SMS filtering and call blocking operations are performed offline on the user's device, with no data uploaded. User-submitted samples are automatically stripped of sensitive information before being used to improve the AI model.
You can help improve the app's accuracy by submitting learning samples. If an SMS is misclassified, you can copy its content, open the app, go to the AI training interface, and submit it. Similarly, if you encounter a phone number that needs tagging, you can copy the number, go to the phone tagging interface in the app, and submit it to expand the database.
