Apps Like Uber Dry for iPhone and iPad
Uber Dry screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.
WashRoom Laundry
McSassy LLC
Schedule pickups, set preferences, track orders
Schedule pickups and deliveries. Set cleaning preferences and track orders. Communicate with staff. Receive free pick-up and delivery in Charlotte, N.C. and surrounding areas.
O’Dry Cleaning
Henrik Vardanyan
Clean clothes, delivered fresh and safe
Schedule and track dry pickups and deliveries. View order status and estimated arrival times. Receive notifications about service updates and contact support for assistance with order changes or inquiries.
ByNext Laundry & Dry Cleaning
Cleanly
On-demand lifestyle cleaning services for users.
The app provides on-demand laundry, dry cleaning, home cleaning, alterations, and sneaker care. It offers services across multiple cities, delivering convenience and saving users time.
5asec Laundry & Dry Cleaning
Alpes Laundry Services LLC
Order and track your pickup
Schedule pickups and drop-offs for and dry . Track order status in real time. View store locations and contact details. Select eco-friendly options. Receive notifications about order updates and delivery times.
Laundry Lens
Alan Pegoli
Point camera at label, get care instructions
Point camera at care labels to instantly view washing, ironing, and care instructions. Search symbols by description in the library. Access full list of symbols for professional care guidance.
Drop & Dash Laundry
Laundry Ops LLC
Pick up and off
Schedule pickups and deliveries within the Chicagoland area. Track shipment status and receive updates. Set preferred pickup times and locations. Request same-day service when available. Pay securely through the .
Enlite Routes
Dark POS, Inc
Manage , track stops, update manifests
Manage delivery and stops, view customer orders, and update order status in real-time. Capture manifests on the go, navigate between locations, and track progress throughout the day.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.