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Screenshots

  • Varnesa: Outfit Stylist screenshot 1
  • Varnesa: Outfit Stylist screenshot 2
  • Varnesa: Outfit Stylist screenshot 3
  • Varnesa: Outfit Stylist screenshot 4

About Varnesa: Outfit Stylist

Never stare at a full closet with nothing to wear again. Varnesa is your personal stylist, powered by the clothes you already own. Add your wardrobe in seconds: upload photos straight from your camera roll, or snap pieces on the spot, and Varnesa instantly learns every item, reading its color, style, and vibe. Then just say what you need. Type or speak an occasion, like beach day, job interview, or dinner date, and watch a complete, wearable outfit come together in seconds. Not from a store. From your closet. Not feeling a piece? Swipe. Varnesa serves fresh alternatives for every layer until the look feels exactly like you. WHAT YOU CAN DO • Build your digital closet fast by importing photos from your camera roll, snapping new ones, or adding from our catalog • Let Varnesa read and tag every item automatically, with no manual data entry • Get a full outfit for any occasion, by text or by voice • Swipe through smart alternatives for each layer, from tops to shoes • Save the looks you love and pull them up anytime • Unlock your Style DNA, your signature aesthetics, colors, and vibe, in one shareable card WHY YOU WILL LOVE IT • It styles what you already own, so there is nothing new to buy • It understands real occasions, seasons, and how dressed up you want to be • It is calm, beautiful, and built to make getting dressed effortless Your Closet, Finally Understood. Sign in with Apple, Google, or email. Your closet is private to you, and you can delete your account and all of your data at any time, right inside the app.

What’s new

Version 1.1.1 · Updated September 23, 2026

Performance improvements and bug fixes.

App privacy

The developer, VARNESA LLC, reported these privacy practices to Apple.

Data Linked to You

The following data, which may be collected and linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction, Other Usage Data
  • User Content: Photos or Videos, Other User Content, Audio Data
  • Contact Info: Email Address, Name
  • Identifiers: User ID
  • Diagnostics: Crash Data, Performance Data

Used for: Analytics, Product Personalization, App Functionality