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Screenshots

  • FitCast: AI Outfit Stylist screenshot 1
  • FitCast: AI Outfit Stylist screenshot 2
  • FitCast: AI Outfit Stylist screenshot 3
  • FitCast: AI Outfit Stylist screenshot 4

About FitCast: AI Outfit Stylist

Mornings, made easy. FitCast picks your outfit before you reach for coffee. We watch the weather, read your style, and have three pieces ready — every morning. No more closet panic. No more "what to wear" mornings. HOW IT WORKS 1. Open the app — your local weather loads automatically 2. Tap Style me — an AI stylist takes 60 seconds, picks the look 3. See every piece, named, with the fabric and the why 4. Heading somewhere? Plan a trip — get an outfit for every day WHY PEOPLE STAY - AI that thinks in fabric, not algorithms - Weather-aware picks that actually work for the temperature - Eight occasions covered: casual, work, date night, gym, outdoor, formal, travel, beach - Personalized to your style — five vibes, your taste - Trip planner: pick a city, pick the days, pack the outfits PREMIUM - Unlimited AI outfits - Activity-specific looks - Trip planner with multi-day forecasts - Outfit history and favorites - Shareable editorial cards - Download FitCast and start your day in style. Terms of Use: https://fitcast-website-production.up.railway.app/terms Privacy Policy: https://fitcast-website-production.up.railway.app/privacy

What’s new

Version 1.0.4 · Updated May 4, 2026

A complete editorial overhaul. - New visual direction: warm plum, coral accents, serif italic typography - Cinematic generating animation — see your outfit come to life through five phases - Robust outfit caching — your image stays even if you go offline - Faster, smarter, calmer We're working on outfits from your own closet next — tap the new Closet tab to vote.

App privacy

The developer, Ismail Demirci, reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Identifiers: Device ID
  • Usage Data: Product Interaction
  • Diagnostics: Crash Data
  • Purchases: Purchase History
  • Location: Coarse Location

Used for: Analytics, App Functionality

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