# 衣色 vs 蓝绣

The clearest difference is in-app purchases: 蓝绣 at none against 衣色's 10. 蓝绣 also leads on iOS requirement (10.0 vs 15.0). On price, update cadence, ads and device support there is nothing between them.

Both are free to download. 衣色 sells 9 one-off in-app purchases. 蓝绣 asks for nothing beyond the download.

衣色 ships an update every 3 weeks, 蓝绣 every 2 weeks. The most recent releases landed on November 3, 2026 and October 25, 2026 respectively.

## The numbers

| Metric | 衣色 | 蓝绣 |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | Yes | **No** |
| Ads | No | No |
| Update frequency | Every 3 weeks | **Every 2 weeks** |
| Size | 53 MB | 132 MB |
| Requires iOS | 15.0 | **10.0** |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Age rating | 4+ | 17+ |
| Developer | [天津薯格网络科技有限公司](https://appshunter.io/developer/1533377331) | [Hangzhou Qiyue Technology Co., Ltd.](https://appshunter.io/developer/1523015014) |

## What reviewers say

### 衣色

[App page](https://appshunter.io/ios/app/id6444196074)

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

**In-app purchases (9)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 衣色 AI去背景次数 6元 | $0.99 | one-time |
| 衣色 1个月高级版 | $1.99 | one-time |
| 衣色 AI去背景次数 28元 | $3.99 | one-time |
| 衣色 1年高级版 | $7.99 | one-time |
| 衣色 AI去背景次数 58元 | $7.99 | one-time |
| 衣色 AI去背景次数 25元 | $7.99 | one-time |
| 衣色 永久高级版 | $9.99 | one-time |
| 衣色 AI去背景次数 98元 | $14.99 | one-time |
| 衣色 AI去背景次数 198元 | $29.99 | one-time |


### 蓝绣

[App page](https://appshunter.io/ios/app/id6446627412)

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is 衣色 free?

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

### Is 蓝绣 free?

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

### Do 衣色 or 蓝绣 have ads?

Neither 衣色 nor 蓝绣 shows ads.

### Which is updated more often, 衣色 or 蓝绣?

衣色 ships an update every 3 weeks, and 蓝绣 every 2 weeks. Most recently, 衣色 was updated on November 3, 2026 and 蓝绣 on October 25, 2026.

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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.*