# 微光字典 vs StrokePath

The clearest difference is iOS requirement: 微光字典 at 15.1 against StrokePath's 17.0. On price and in-app purchases there is nothing between them.

Both are free to download. 微光字典 sells 3 one-off in-app purchases and StrokePath sells 1 one-off in-app purchase. Whichever you choose, the download price is not the number that matters.

## The numbers

| Metric | 微光字典 | StrokePath |
| --- | --- | --- |
| Price | Free | Free |
| Positive reviews | 66.7% of reviews | — |
| In-app purchases | Yes | Yes |
| Ads | — | Yes |
| Update frequency | Every 2 weeks | — |
| Monetization | Free with in-app purchases | — |
| Size | 104 MB | 45 MB |
| Requires iOS | **15.1** | 17.0 |
| Devices | — | **iPhone** |
| Age rating | 4+ | 4+ |
| Developer | [竣方 谭](https://appshunter.io/developer/501085079) | [丽佳 施](https://appshunter.io/developer/1894580777) |

## What reviewers say

### 微光字典

[App page](https://appshunter.io/ios/app/id524927685)

This tool helps users quickly look up Chinese characters, listen to pronunciations, view stroke order animations, and save words for later study. It offers multiple search methods and a clear interface for efficient learning and review.

**Highlights:** Multiple search methods (Pinyin, radical, stroke count), Detailed character explanations, Standard pronunciation audio, Stroke order animations, Vocabulary notebook for saving words, Search history

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 离线语音功能 | $0.99 | one-time |
| 完整版字库 | $0.99 | one-time |
| 解锁高级功能 | $0.99 | one-time |


### StrokePath

[App page](https://appshunter.io/ios/app/strokepath-hanzi-strokes/id6795542802)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases (1)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Remove Ads | $0.99 | one-time |


## Frequently asked questions

### Is 微光字典 free?

微光字典 is free to download, with in-app purchases available.

### Is StrokePath free?

StrokePath is free to download, with in-app purchases available.

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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.*