
Your Wardrobe. Smarter Every Day.
Overcome daily decision fatigue with weather-adaptive outfit recommendations, local background removal, and smart packing — built with zero third-party commercial AI APIs.


100% French Linen
13.5oz Kurabo Denim
Italian Nappa LeatherMost people own dozens of garments they genuinely love, yet default to the same three combinations every week. Commercial styling apps push you to buy more fast fashion.
Wearlo takes the opposite approach: digitize what is already hanging in your closet, remove the clutter, and let deterministic color-matching and weather rules compose combinations you forgot you owned.
Snap a photo on your phone. Our self-hosted async pipeline uses rembg to strip messy room backdrops into pure transparent garment silhouettes, then matches the fabric tone across 64 fashion shades using perceptual CIEDE2000 math in CIELAB color space.
Every morning, Wearlo checks your local forecast and evaluates category combinations (Top + Bottom + Shoes or Dress + Shoes) against temperature thresholds and occasion filters (Casual, Work, Date, Formal, Travel).
Log what you wear in one tap. Track your wardrobe utilization rate, surface neglected pieces before they go forgotten, and calculate genuine cost-per-wear metrics for smarter future purchases.
Planning a trip? Enter your destination and dates. Wearlo queries destination forecasts and creates a multi-day packing list with de-duplication rules, ensuring you never overpack.
Your personal photos and wardrobe metadata are processed strictly on our self-hosted servers using local open-source libraries. We do not sell your photos, train commercial LLMs on your closet, or stream data to external vision endpoints.
Background removal and classification execute on-premise without external API hops.
Garment photos are served through private expiring URLs accessible only to your session.
Export your digitized wardrobe or delete your entire record with a single click at any time.
Digitize your first 10 items in minutes. No credit card required.