---
title: "clothesai - Reviews, Revenue and Downloads in South Korea | Apple App Store"
description: "1. "今天穿什么"通过录入用户已有的服装、配饰、箱包、鞋帽图片，利用AI视觉大模型相关能力为上传的服饰箱包等物品自动打标签和生成固定格式的文字描述，来完成用户服饰数据的数字化，形成用户服饰知识库。从而实现以下功能：       1. 数字衣柜：将用户的服饰数据进行格式化处理，进行分类存储及打标，便于用户管理和检索。       2. 穿搭诊断师：通过推理模型来深度分析用户的服饰数据，同时形成对用"
---

# clothesai — South Korea

![clothesai App Icon](https://is1-ssl.mzstatic.com/image/thumb/Purple211/v4/ae/e5/5d/aee55d73-47b9-1b9d-c32a-d6aad26a0a8a/AppIcon-0-0-1x_U007epad-0-85-220.png/434x0w.png)

**Developer:** [林 杨](https://apptail.io/developer/developer-tCdC) (China)
**Category:** Utilities
**Rating:** N/A (0 ratings)
**Price:** Free
**Bundle ID:** com.domainname.appname.clothes
**Store:** Apple App Store
**Country:** South Korea
**Version:** 1.0 (released 2025-03-19)
**Original Release:** 2025-03-19
**Languages:** English

**App Store Link:** [Download on Apple App Store](https://apps.apple.com/kr/app/app/id6743472835)
**AppTail Page:** [https://apptail.io/app/clothesai-CRUv/south-korea](https://apptail.io/app/clothesai-CRUv/south-korea)

## clothesai Description
1. "今天穿什么"通过录入用户已有的服装、配饰、箱包、鞋帽图片，利用AI视觉大模型相关能力为上传的服饰箱包等物品自动打标签和生成固定格式的文字描述，来完成用户服饰数据的数字化，形成用户服饰知识库。从而实现以下功能：
      1. 数字衣柜：将用户的服饰数据进行格式化处理，进行分类存储及打标，便于用户管理和检索。
      2. 穿搭诊断师：通过推理模型来深度分析用户的服饰数据，同时形成对用户穿搭风格的诊断和相关建议。
      3. 穿搭小助手：结合用户每天的穿搭需求和已有的服饰数据，来为用户做每日的穿搭推荐。
      4. 魔镜：对用户上传的穿搭图片进行点评分析，提供改进建议，可以直接推荐用户自身服饰库中的服饰。

## clothesai Screenshots
- [Screenshot 1](https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/47/fc/ba/47fcba1c-2690-37f2-c143-0da142856717/Group_36.png/1320x2868.png)
- [Screenshot 2](https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/97/fa/d6/97fad618-9d98-51ae-99bb-efc193c9cc82/Group_38.png/1320x2868.png)
- [Screenshot 3](https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/f7/27/6b/f7276b1c-da7f-d9dd-a07e-15f104df1c53/Group_37.png/1320x2868.png)







## clothesai Available In
- [South Korea](https://apptail.io/app/clothesai-CRUv/south-korea)
- [Latvia](https://apptail.io/app/clothesai-CRUv/latvia)

---

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