Wardrobe is a local wardrobe organizer that uses OpenAI image models to extract and present clothing from personal photos. It detects garments in imported images, creates clean product-style cutouts, and can generate modeled editorial previews using a reference photo. The web interface supports drag-and-drop, paste, editing, review, regeneration, and approval of generated results. Original images, processed assets, job data, and the JSON clothing library remain in a local data directory. Two bundled Codex skills automate clothing import and generate styled outfit collections from items already in the wardrobe. Users can run the workflow through Codex or the web interface. The project requires an OpenAI API key for AI processing and allows model and data locations to be configured.

Features

  • AI-powered garment detection
  • Clean product-style clothing extraction
  • Modeled editorial preview generation
  • Local JSON wardrobe and asset storage
  • Codex clothing import and outfit skills
  • Drag-and-drop review and regeneration workflow

Project Samples

Project Activity

See All Activity >

Categories

AI Models

License

MIT License

Follow Wardrobe

Wardrobe Web Site

Other Useful Business Software
99.99% Uptime for MySQL and PostgreSQL Databases Icon
99.99% Uptime for MySQL and PostgreSQL Databases

Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Wardrobe!

Additional Project Details

Programming Language

JavaScript

Related Categories

JavaScript AI Models

Registered

2026-08-06