# 麦迪斯 vs 老照片AI修复

The clearest difference is in-app purchases: 麦迪斯 at none against 老照片AI修复's 7. 麦迪斯 also leads on ads (none vs shown) and iOS requirement (11.0 vs 13.0). 老照片AI修复's advantage is update cadence (every 2 months vs every 29 months). On price and device support there is nothing between them.

Both are free to download. 老照片AI修复 sells 7 in-app purchases, starting at $2.99 per month. 麦迪斯 asks for nothing beyond the download.

麦迪斯 ships an update every 29 months, 老照片AI修复 every 2 months. The most recent releases landed on October 9, 2026 and October 13, 2026 respectively.

## The numbers

| Metric | 麦迪斯 | 老照片AI修复 |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | **No** | Yes |
| Ads | **No** | Yes |
| Update frequency | Every 29 months | **Every 2 months** |
| Size | 178 MB | 99 MB |
| Requires iOS | **11.0** | 13.0 |
| Devices | iPhone, iPod | iPhone, iPod |
| Age rating | 4+ | 4+ |
| Developer | [xinsheng zhou](https://appshunter.io/developer/1440973779) | [清兰 林](https://appshunter.io/developer/1600417774) |

## What reviewers say

### 麦迪斯

[App page](https://appshunter.io/ios/app/id1440973780)

**Features:** macOS Compatibility

**In-app purchases:** none


### 老照片AI修复

[App page](https://appshunter.io/ios/app/ai/id6447159072)

**Features:** macOS Compatibility

**In-app purchases (7)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 月会员 | $2.99 | per month |
| 月度会员 | $3.99 | per month |
| 季会员 | $3.99 | per 3 months |
| 周度会员 | $4.99 | per 7 days |
| 年会员 | $4.99 | per year |
| 季度会员 | $7.99 | per 3 months |
| 年度会员 | $9.99 | per year |


## Frequently asked questions

### Is 麦迪斯 free?

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

### Is 老照片AI修复 free?

老照片AI修复 is free to download, with in-app purchases available.

### Do 麦迪斯 or 老照片AI修复 have ads?

老照片AI修复 shows ads; 麦迪斯 does not.

### Which is updated more often, 麦迪斯 or 老照片AI修复?

麦迪斯 ships an update every 29 months, and 老照片AI修复 every 2 months. Most recently, 麦迪斯 was updated on October 9, 2026 and 老照片AI修复 on October 13, 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.*