# Virtual Closet AI — Try on anything, anywhere

> Try on anything, anywhere (iPhone/iPad app by Chad Danker.)

- Source: https://appshunter.io/ios/app/virtual-closet-ai/id6777418096 (this page in markdown: same URL + `.md`)
- Developer: [Chad Danker](https://appshunter.io/developer/6777418098)
- Category: Lifestyle, Shopping
- Price: Free with in-app purchases
- Age rating: 4+
- Requires: iOS 15.1 · 47 MB
- Languages: American English
- Released: 2026-06-26
- Data updated: 2026-08-20
- User reviews in markdown: https://appshunter.io/ios/app/virtual-closet-ai/id6777418096/reviews.md

## What is Virtual Closet AI?

Virtual Closet AI helps you try on outfits before you wear or buy them.

Upload a photo of yourself, then use AI to see how different clothes look on you. Capture clothing with your camera, upload outfit photos, or build looks from your saved virtual closet.

With Virtual Closet AI, you can:

- Upload your photo: Add a full-body or 3/4 photo of yourself to use as your personal try-on image.

- Capture or upload clothing: Take a photo of clothing in-store, from your wardrobe, or from an outfit photo. Virtual Closet AI analyzes the image and extracts each clothing item into a clean thumbnail.

- Try on instantly: Use the camera to capture an outfit or clothing pieces, then generate an AI try-on result with the items applied to your photo.

- Build your virtual closet: Every extracted clothing item is saved to your closet, so you can reuse it later.

- Mix and match outfits: Select tops, bottoms, shoes, jackets, and more from your closet to create new outfit combinations.

- Compare your looks: All try-on results are saved in your feed, where you can scroll, compare outfits, switch between grid views, and revisit past looks.

- Share your results: Save or share your AI try-on images with friends.

Start free with clothing extractions and try-on generations included.

Credits are used when extracting clothing items and generating try-on results. Each extracted clothing item costs 1 credit, and each AI try-on generation costs 1 credit, no matter how many items are included in the outfit.

Whether you are planning outfits, shopping online, comparing styles, or organizing your wardrobe, Virtual Closet AI gives you a simple way to see how clothes could look on you before deciding what to wear.

## Pricing and in-app purchases

Base price: Free.

**One-time purchases**

| Purchase | Price | Type |
| --- | --- | --- |
| Starter | $1.99 | one-time |
| Regular | $4.99 | one-time |
| Heavy | $9.99 | one-time |



## Version history (last 4 releases)

### 1.1.2 — 2026-08-17

Fixed an issue that could prevent the "Try this on" and "Add photo of me" buttons from responding after capturing or selecting a photo. This update also includes minor visual improvements to the camera actions and credits screen.

### 1.1.1 — 2026-08-17

We’ve refreshed onboarding with updated visuals, clearer free-credit information, and smoother navigation. Version 1.1.1 also introduces a polished credit purchase experience, with clearer payment confirmation and a playful coin celebration when your credits arrive, plus minor UI and layout improvements throughout the app.

### 1.1 — 2026-08-13

We’ve made adding photos and clothing smoother and smarter:
- Improved photo guidance helps you choose better pictures for virtual try-ons.
- Clothing uploaded in the wrong place is now recognised and routed to your closet.
- Clearer prompts help you add a try-on photo when one is missing.
- Refreshed clothing extraction progress makes it easier to see items being added.
- Added helpful feedback for unsupported or unclear images.
- Polished copy, animations, and visuals throughout the app.
- Fixed several bugs and improved overall reliability.

### 1.0 — 2026-06-26

No release notes.

## Related topics

[virtual closet shoe](https://appshunter.io/ios/topics/virtual-closet-shoe)

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-20.*