# 虎虎吃短信 vs kaapa

The clearest difference is in-app purchases: kaapa at none against 虎虎吃短信's 3. 虎虎吃短信's advantage is device support. On price and iOS requirement there is nothing between them.

Both are free to download. 虎虎吃短信 sells 3 in-app purchases, starting at $0.99 per month. kaapa asks for nothing beyond the download.

## The numbers

| Metric | 虎虎吃短信 | kaapa |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[5.0 (2 ratings)](https://appshunter.io/ios/app/id6480389051/reviews)** | — |
| Number of ratings | **2** | — |
| Positive reviews | 100.0% of reviews | — |
| In-app purchases | Yes | **No** |
| Ads | No | — |
| Update frequency | Every 3 weeks | — |
| Monetization | Free | — |
| Size | 42 MB | 42 MB |
| Requires iOS | **14.0** | 15.0 |
| Devices | **iPhone, iPod** | — |
| Age rating | 12+ | 4+ |
| Developer | [Shanghai Hotspot Technology Co., Ltd.](https://appshunter.io/developer/1784384773) | [Jun Wu](https://appshunter.io/developer/1329325100) |

## What reviewers say

### 虎虎吃短信

[App page](https://appshunter.io/ios/app/id6480389051)

This app uses on-device machine learning to filter spam messages without needing internet access. It intelligently identifies unwanted texts based on semantic analysis, requiring no manual rule configuration. Users can contribute to its intelligence by reporting new message samples.

**Highlights:** On-device offline filtering, Machine learning semantic analysis, No manual rule configuration, User-contributed message samples, Privacy-focused, no network permission

**Features:** macOS Compatibility

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 月度会员 | $0.99 | per month |
| 年度会员 | $3.99 | per year |
| 终身会员 | $4.99 | one-time |


### kaapa

[App page](https://appshunter.io/ios/app/kaapa/id6502706009)

**In-app purchases:** none


## Frequently asked questions

### Is 虎虎吃短信 free?

虎虎吃短信 is free to download, with in-app purchases available.

### Is kaapa free?

kaapa is free to download, with no in-app purchases.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*