AI Wardrobe App for Your Own Clothes
Mirra AI includes an AI wardrobe app: a digital wardrobe that keeps track of the clothes you own and turns them into outfits when you ask. You add your pieces with photos or by importing past online orders, then ask for a look for the day ahead. Mirra is free on Android and iPhone in India and the US.
What is an AI wardrobe app?
An AI wardrobe app is a digital wardrobe that recognises your clothes and uses AI to combine them into outfits. A basic wardrobe app only stores photos; an AI wardrobe app can answer a question like "What can I wear to office tomorrow?" with a complete look made from your own pieces. Mirra's wardrobe works this way, alongside its styling and shopping features.
In the Wardrobe tab, your clothes are sorted by category, so tops, bottoms, dresses, sarees and shoes are easy to find. If an item lands in the wrong category, you can move it to the right one.
How do I add my clothes?
You add clothes to Mirra's digital wardrobe by uploading photos from your phone, up to 5 a day. Mirra finds the clothing in each photo and adds it to your wardrobe, where you can check the category and change it if needed. Photos taken in good light, with the garment clearly visible, are the easiest for Mirra to read.
You'll see the upload's progress as it runs, and a notification tells you when your wardrobe has been updated, so you can carry on using your phone in the meantime.
Can I import past orders?
Yes. Mirra can bring in your order history from Myntra, AJIO, Nykaa Fashion, Savana and Amazon India, so clothes you bought online appear in your wardrobe without photographing them. You sign in to the store inside the Mirra app and it reads your order history; Mirra doesn't save your store login. Cancelled, returned and refunded orders are left out.
Importing is the quickest way to fill a wardrobe if you shop online often. Clothes from markets, tailors or family can then be added with photos.
How does it build outfits?
When you ask for an outfit in Wardrobe chat, Mirra reads the occasion you describe and chooses pieces from your wardrobe that suit it and work together, including footwear if you've added some. The reply shows the outfit as a card with your own items in it. You can ask for a change, such as a different colour or flatter shoes, and Mirra tries again.
For an outfit built around one particular piece, type @ in the chat and pick it from your wardrobe. If nothing you own suits the occasion, switch to Shop and ask Mirra for the missing piece instead.
You can also plan ahead one request at a time: ask for Monday's office outfit, then Tuesday's, or one look for each wedding function. Seeing several outfits from the same wardrobe makes it easier to spot the pieces you rely on and the ones you rarely wear.
How many clothes do I need?
You can start with only a few clothes, but Mirra has more to combine as your wardrobe grows. Add the pieces you wear every week first, including footwear and dupattas, then add the rest over time. A mix of separate tops and bottoms gives the AI more combinations than complete sets alone.
There's no need to add everything in one sitting. Adding a few items whenever you unpack a delivery or tidy a shelf keeps the wardrobe current without turning it into a chore.
What doesn't it do?
Mirra's wardrobe only knows the clothes you've added, so its outfits are only as complete as your wardrobe in the app. It can't tell whether a piece still fits, needs ironing or is at the tailor, and a dark or blurry photo can be misread. You can delete your account and all its data at any time in the app, under Profile → Delete Account.
Skin shade and body type in your profile are optional. Mirra uses them for colour and clothing suggestions and nothing else, and you can leave them blank.
Keep exploring
For a wider look at dressing from what you own, read our blog post AI Wardrobe App: Outfits From Clothes You Own. To plan outfits for a particular event, see Mirra's AI stylist, and when a gap shows up, the AI shopping assistant or the Mirra shop page can help you find the piece.
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