# Outfits Oracle — Weather Aware Outfit Ideas

> AI stylist recommends outfits based on weather and your clean wardrobe. (iPhone/iPad app by Samuel Kobrin.)

- Source: https://appshunter.io/ios/app/outfits-oracle/id6761679564 (this page in markdown: same URL + `.md`)
- Developer: [Samuel Kobrin](https://appshunter.io/developer/1864091270)
- Category: Lifestyle, Health & Fitness
- Price: Free
- Rating: 5.00/5 from 2 App Store ratings
- Age rating: 4+
- Requires: iOS 15.6 · 36 MB
- Languages: American English
- Released: 2026-07-08
- Data updated: 2026-10-12
- Monetization: free

## What is Outfits Oracle?

Outfit Oracle is your personal AI stylist — it recommends what to wear each day based on today's weather and what's actually clean in your closet.

WHAT IT DOES
• Catalog your wardrobe with photos, colors, and clothing types
• See today's local weather at a glance
• Get AI-generated outfit suggestions tailored to the conditions
• Guide your recommendation with style preferences: Casual, Work, Going Out, Sporty, or Cozy
• Track wear counts so you always know what's clean and what needs washing
• One-tap laundry mode marks everything clean again
• Filter your wardrobe by type, color, or clean/dirty status

SMART WEAR TRACKING
Outfit Oracle remembers every outfit you've confirmed wearing. Set custom wear limits per clothing type — for example, mark jeans dirty after 3 wears, but underwear after 1. Never accidentally re-wear something that needs washing.

AI RECOMMENDATIONS
Our AI stylist knows your wardrobe, checks the weather, and avoids repeating recent outfits. Just tap the lightbulb icon and get a complete, weather-appropriate outfit in seconds. Not feeling it? Tap "Get Another Recommendation" for a fresh suggestion.

SIMPLE & PRIVATE
Your wardrobe lives on your device.

## Key features

- AI outfit suggestions
- Weather-aware recommendations
- Wardrobe cataloging
- Wear count tracking
- Laundry mode
- Style preference filtering

## Is Outfits Oracle safe?

Not enough ratings yet to assess Outfits Oracle.

## Is Outfits Oracle legit?

Outfits Oracle has limited verification signals. The AppsHunter Legitimacy Score for Outfits Oracle is 48 out of 100 points across 7 verification signals from App Store and developer data.


## Frequently asked questions about Outfits Oracle

### What is Outfits Oracle?

Outfits Oracle is a free AI stylist app that suggests outfits based on your local weather and the clean clothes available in your digital wardrobe. It helps you catalog your clothing items and track their wear counts.

### How does Outfits Oracle catalog my wardrobe?

You can catalog your wardrobe by taking photos of your clothing items and adding details like color and type. The app then uses this information to generate personalized outfit recommendations.

### Can Outfits Oracle help me know when to wash clothes?

Yes, Outfits Oracle tracks wear counts for each item. You can set custom wear limits, and the app will alert you when items need washing, preventing accidental re-wears.

### Does Outfits Oracle consider my style preferences?

Yes, you can guide the AI recommendations by setting your style preferences, such as Casual, Work, Going Out, Sporty, or Cozy. This ensures the suggested outfits align with your personal taste.

### Is Outfits Oracle available on Android?

Currently, Outfits Oracle is supported on iPhone and iPod. Information regarding Android availability is not provided in the current data.

### How often is Outfits Oracle updated?

The app was last updated on July 8, 2026, with version 1.0. Further update frequency details are not available.

### What is the age rating for Outfits Oracle?

Outfits Oracle has an age rating of 4+, making it suitable for a wide range of users. The app focuses on lifestyle and wardrobe management.

### Does Outfits Oracle have ads?

No, Outfits Oracle does not contain advertisements. It is a free application designed to be ad-free for a seamless user experience.

## Version history (last 2 releases)

### 1.2.1 — 2026-07-22

Bug fixes and product improvements.

### 1.0 — 2026-07-08

No release notes.

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-10-12.*