This app uses machine learning to intelligently filter your text messages, categorizing them beyond just spam. It offers detailed classifications for financial, order, and weather-related messages, all processed offline on your device for enhanced privacy. Users can contribute to its learning by reporting misclassified messages.
Summarized from real user reviews of 熊猫吃短信2. Based on 233 reviews and a 4.6/5 average, it highlights the 11 positives and 15 negatives reviewers mention most about this Utilities app.
26.8.2
August 21, 2026
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5 issues
Custom rules not syncing across devices
Subscription invalid after changing region
8 requests
Custom rule migration or iCloud sync
Batch import keywords
This app uses advanced machine learning models to filter and categorize your text messages. It goes beyond basic spam detection to identify and sort messages into categories like financial, orders, and weather, all processed locally on your device for maximum privacy.
The app processes all message filtering and categorization offline on your device using CoreML. It explicitly states that it does not upload or collect your text message content. Only anonymized text and your classification are collected if you voluntarily submit message samples to help the app learn.
The app's machine learning models are trained on a vast dataset of anonymized SMS messages reported by users. It learns to identify semantic features of messages to accurately distinguish between normal, transactional, and spam messages without requiring manual keyword configuration.
Yes, you can help improve the app's accuracy by 'feeding' it new message samples within the app. When the app misclassifies a message, you can report it, which helps the machine learning models learn and become smarter over time.
Beyond general spam, the app can identify more granular categories such as financial messages (bank, insurance, utilities), order-related messages (pickup codes, logistics, travel), operator messages, and weather alerts.
