# inSmart vs DressCoder

The clearest difference is iOS requirement: inSmart at 13.0 against DressCoder's 17.0. On price, ads, in-app purchases and device support there is nothing between them.

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | inSmart | DressCoder |
| --- | --- | --- |
| Price | Free | Free |
| Rating | — | **[5.0 (3 ratings)](https://appshunter.io/ios/app/dresscoder/id6760600925/reviews)** |
| Number of ratings | — | **3** |
| Positive reviews | — | 100.0% of reviews |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 4 months | — |
| Monetization | — | Free |
| Size | 205 MB | 16 MB |
| Requires iOS | **13.0** | 17.0 |
| Devices | iPhone, iPod | iPhone, iPad |
| Age rating | 4+ | 12+ |
| Developer | [INSMARTAVTOMATIKA, OOO](https://appshunter.io/developer/1595834093) | [Muhammat Bechelov](https://appshunter.io/developer/1885210138) |

## What reviewers say

### inSmart

[App page](https://appshunter.io/ios/app/insmart/id1595834091)

**Features:** macOS Compatibility

**In-app purchases:** none


### DressCoder

[App page](https://appshunter.io/ios/app/dresscoder/id6760600925)

Transform your wardrobe with an AI stylist. Capture your clothes, and the app automatically identifies them, creating stylish outfit suggestions. Discover new trends and save your favorite looks.

**Highlights:** AI clothing recognition, Automatic background removal, Outfit generation, Personalized style learning, Multiple style presets, Fashion news feed, Save favorite outfits

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

**In-app purchases:** none


## Frequently asked questions

### Is inSmart free?

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

### Is DressCoder free?

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

### Do inSmart or DressCoder have ads?

Neither inSmart nor DressCoder 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.*