Apps Like DOME Laundry for iPhone and iPad
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.


NimNim Laundry & Dry Clean
NimNim, Inc.
Order and track cleaning services
Order , dry cleaning, rug cleaning, shoe repair, and alterations on-demand. Schedule pickups and deliveries within 12 or 24 hours. Track order status and view business profiles. Pay securely through the .

DRYV - Dry Cleaning & Laundry
Dryv LLC
Dry cleaning and laundry delivered.
The app offers convenient dry cleaning and laundry services. It provides on-demand pickup and delivery, including nights and weekends, bringing selected cleaners to the user.





Kenmore Smart
Sears Brands Management Corporation
Link and control appliances remotely
Control and monitor appliances through a centralized . Adjust settings based on schedules and routines. Link devices to manage functions remotely. View appliance status and receive notifications.

Atomic Laundry
Dark POS, Inc
Drop off and pick it up
Schedule pickups and deliveries. Drop off dry cleaning or wash & fold items. Use self-serve facilities. Request suede, leather, or rug cleaning. Get alterations done by professionals. Track order status and receive updates.



Sparkling Suds Laundry
Sparkling Suds LLC
Fold and schedule pickups
Schedule and manage pickups and drop-offs. Track washing and folding progress. Receive notifications and confirm delivery times. Adjust service preferences and view order history.


DropMint: Laundry On-Demand
John Simerson
Pick up and deliver anytime
Schedule pickup and delivery for dry cleaning and at chosen times and locations. Track your order status in real time. View estimated delivery times and update preferences during the process.


CleanCloud
CleanCloud LTD
Book dry cleaning and laundry orders
Book dry cleaning and laundry orders with any service using . Select services, schedule pickups, track orders, and view estimated delivery times. Add notes for specific instructions and manage multiple orders in one place.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.