Apps Like Saugerties Laundry for iPhone and iPad
Saugerties Laundry screenshots
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.


Dry Cleaners Near Me
Dry Cleaners Near Me LLC
Order laundry and dry cleaning on demand
Schedule pickups or deliveries for laundry, dry cleaning, or shirts. Select morning or evening slots. Track order status. View locations and contact information. Pay via . Receive clean clothes at home or pickup location.



Huebsch
Alliance Laundry Systems, LLC
Pay for laundry from your phone
Find nearby laundry machines and check their availability. Pay for use through the . Receive notifications when laundry is nearly done. Track progress and manage payments without needing physical coins.



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.

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 .




Clean Threads
Clean Threads LLC
Schedule laundry and track delivery
Schedule laundry or dry cleaning pickups and deliveries. Select 1-hour morning or evening windows. Track order status and receive clothes at your location.

ConVay Laundry
Convay services llc
Drop clothes, track pickup, get cleaned
Schedule pickups and track order status in real time. Receive live updates and contact support directly. View estimated completion times and confirm pickup details.






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