Help with wardrobe records, on-device suggestions, cost per wear and export.
Add an item, enter the facts you know, optionally select a photo, review the on-device suggestion, then save the garment to your local wardrobe.
Getting started
Add an item, enter the facts you know, optionally select a photo, review the on-device suggestion, then save the garment to your local wardrobe.
Photos and local analysis
WearLedger AI uses Apple's system photo picker. It reads only the photo you choose and does not request broad photo-library access or scan your library automatically.
Logging wears
Tap Log a wear on the featured item or open any garment and add a wear date. Cost per wear is purchase price divided by at least one recorded wear.
Move On decisions
Choose your underused threshold in Settings. Keep, resell, donate and archive statuses are your own records and can be changed later.
Exports
Create PDF, CSV, JSON, listing notes or ZIP files. Use the iOS share sheet to choose where an exported file goes.
Troubleshooting
If photo analysis is unclear, choose a well-lit photo with one visible garment, then edit the category or color before saving. If an export cannot be created, confirm the wardrobe contains at least one item and that the device has free storage, then try again.
FAQ
Image suggestions are editable assistance, not facts or market valuations. Resale target prices are entered by you. The app does not scrape marketplaces or analyze bodies, faces or demographics.
Does WearLedger AI work offline?
Core wardrobe, analysis, decision and export features work without an account or app server. Public help links require internet access when opened.
Does the app estimate resale value?
No. It records only the target price you enter and labels exported notes as user-confirmed targets, not market valuations.
What AI is used?
Apple Vision and Core Image run on device for category, dominant color, foreground and visual-similarity assistance. Deterministic local calculations handle cost per wear and underused thresholds.
Contact
Email support@vshia.com with the app version, device model and steps to reproduce the issue. We normally reply within two business days.