Daily Rail · iPhone
See what you own. Find what you need. Put a look together with the clothes already in your closet.
A working native iPhone implementation, currently in development.
Available in the implementation
01 / PHOTO TO WARDROBE
Choose a full-body photo with the system photo picker. AI processing identifies the top, bottoms, and shoes and creates separate garment images. Completed results are automatically organized into the closet selected when you started the scan.
02 / MORE THAN ONE CLOSET
Create groups and closets, then switch between their visual covers. Your selected closet scopes its garment rails, search, outfit combinations, and calendar.
03 / FIND AND EDIT
Search names, colors, categories, and notes. Edit a garment’s name, color, category, optional purchase date, and notes for sizing, care, or styling. Changing its category moves it to the corresponding rail.
From inventory to everyday use
04 / COLLECTIONS
Tops, bottoms, and shoes have their own rails. Additional categories organize hats, watches, eyewear, and bags. The full-body AI scan currently creates the three clothing categories; accessory categories are available through item organization.
05 / OUTFIT COMBINATIONS
Browse combinations of saved tops, bottoms, and shoes. Current combinations are generated locally from your inventory. Conversational AI styling is a future evaluation, rather than an available feature.
06 / CALENDAR
A calendar organizes garments by the date they were added to your closet. Optional purchase dates and searchable notes keep extra context with each item.
07 / LANGUAGE AND MOTION
Choose Korean, English, or your device language and adjust motion preferences. Wardrobe data stays on your device, and the app does not require an account or provide wardrobe cloud sync.
Understand the photo processing
Local wardrobe storage and temporary server-side photo processing have different retention rules. Read the product policy for the current processing providers, retention, and deletion options.
Planned Claude evaluation
We plan to evaluate the first-party Claude API for structured garment attributes from selected images, including category and color descriptions, with human review of uncertain results.
We plan to evaluate Korean and English explanations based on saved wardrobe items. Evaluation will cover usefulness, grounding, response time, and cost.
A few useful details
The native iPhone app is in development. This page describes the working implementation and its current feature set. Contact dev@zrindy.com for availability information.
They are AI-generated visual representations. Hidden details can differ from the source photo. Review the output and use the item editor for garment names, colors, categories, and notes.
The current Daily Rail implementation stores the wardrobe on the device and does not offer account-based wardrobe cloud synchronization.
No. We plan to evaluate Claude for garment understanding and wardrobe-grounded language features. Current processing uses other AI providers, as described in the product privacy policy.
Questions, product feedback, or partnership inquiries.
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