# WordTrees vs 多诺(Duonova)

The clearest difference is in-app purchases: WordTrees at none against 多诺(Duonova)'s 2. On price, ads, device support and iOS requirement there is nothing between them.

Both are free to download. 多诺(Duonova) sells 2 in-app purchases, starting at $0.99 per month. WordTrees asks for nothing beyond the download.

## The numbers

| Metric | WordTrees | 多诺(Duonova) |
| --- | --- | --- |
| Price | Free | Free |
| Positive reviews | 100.0% of reviews | — |
| In-app purchases | **No** | Yes |
| Ads | No | No |
| Update frequency | Every 9 days | — |
| Monetization | Paid | — |
| Size | 35 MB | 127 MB |
| Requires iOS | 17.6 | **16** |
| Devices | iPhone, iPad | **iPhone, iPad, iPod** |
| Age rating | 4+ | 4+ |
| Developer | [祖浪 吴](https://appshunter.io/developer/1883572387) | [化工 刘](https://appshunter.io/developer/629597146) |

## What reviewers say

### WordTrees

[App page](https://appshunter.io/ios/app/wordtrees/id6775192724)

This app uses AI to break down words into their roots, prefixes, and suffixes, revealing their origins and semantic connections. It builds a visual word network, expanding vocabulary through derivatives and related terms for efficient learning.

**Highlights:** AI-powered word dissection, Root, prefix, suffix analysis, Word relationship network, Visual tree diagram display, Vocabulary expansion tools, Native iOS design

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

**In-app purchases:** none


### 多诺(Duonova)

[App page](https://appshunter.io/ios/app/duonova/id6775779653)

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

**In-app purchases (2)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 会员月费 | $0.99 | per month |
| 会员年费 | $7.99 | per year |


## Frequently asked questions

### Is WordTrees free?

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

### Is 多诺(Duonova) free?

多诺(Duonova) is free to download, with in-app purchases available.

### Do WordTrees or 多诺(Duonova) have ads?

Neither WordTrees nor 多诺(Duonova) shows ads.

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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.*