Jinchuan
The AI outfit matching and smart wardrobe application launched by Hangzhou Hanguang Technology supports sorting clothes by tops, bottoms and shoes according to the official announcement. It provides AI fitting previews, reusable matching recommendations, and offers daily outfit suggestions based on temperature, humidity and UV rays.
Updated: 2026-10-26
What is Jinchuan?
Jin Chuan is an AI outfit matching and smart wardrobe application launched by Hangzhou Hanguang Technology Co., Ltd., with official iOS and Android versions available. According to its official description, it helps users organize their clothes, preview combinations and get daily outfit inspiration, reducing the time spent deciding what to wear every day. Its feature is to closely integrate wardrobe management with AI try-on: first digitize individual clothing items, then complete combinations and preview effects within the digital wardrobe.
Who is it for?
- Office workers who are pressed for time in the morning and often grab clothes randomly: Check the suggestions for the next day the night before and wear them directly the next morning.
- For organized users who want to digitize their wardrobes first: Add items gradually by category to build a searchable and replaceable personal item library.
- People who need to adjust their clothing according to the weather: Add or remove clothes based on reminders of temperature, wind force, humidity and ultraviolet rays.
- People who prefer to see the effect first before making a decision: Use AI try-on to preview combinations and reduce the chance of finding out they don't match after purchasing.
- Multi-device users: Use cloud backup to sync wardrobe records between mobile phones and tablets, avoiding re-entry when switching devices.
Key features
6Smart Wardrobe
Organize personal clothing and outfit records by categorizing them into tops, bottoms, shoes, etc., which the official says facilitates the continuous management of clothing across different devices.
AI Fitting
After selecting a combination of clothing items, preview the individual pieces and the overall outfit effect before generating the final look, as officially positioned to reduce the cost of trial and error.
Smart Recommendations
Provides reusable styling inspirations from the existing items in the wardrobe, and allows you to save combinations that suit daily scenarios.
Personalized Assistant
Combines temperature, wind force, humidity and UV information to provide daily outfit suggestions, which the official says helps users adapt to weather changes.
Fashion Content
The official description states that a core feature includes a fashion content section, which is designed to supplement reference inspirations for daily outfits.
Automatic Cloud Backup
Synchronizes and saves wardrobe data, making it convenient to continue managing personal clothing across different devices such as mobile phones and tablets.
How to use Jinchuan
- First enter the high-frequency items of the current season into the wardrobe, so that the recommended results can be put into use within a month, instead of waiting for the entire wardrobe to be entered before officially starting.
- Keep the classification dimensions consistent.
- For example, create a three-layer directory for tops, bottoms and shoes, which will make subsequent searching and replacement much easier.
- The effect generated by AI fitting is affected by shooting angles and light.
- photos taken flat lay from the front with a clean background yield the most stable results.
- Weather suggestions are just for reference.
- you still need to weigh the indoor-outdoor temperature difference, commuting methods and actual personal comfort yourself.
- Photos involving personal image and clothing data are considered private information.
- Please review the privacy policy and data storage methods before use.
- In addition, the value of such lifestyle AI tools lies in "reducing the cost of daily decision-making" rather than replacing judgment: the recommended results are generated based on your input preferences, and it is recommended that you review key decisions related to consumption, health, and travel again before executing them.
Traffic & popularity
Data month Sep 2026
Jinchuan receives about 55.4K visits per month.
Monthly visits
5 monthsEstimated from third-party traffic data.
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