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.
Apps Like Lavendera Laundry for iPhone and iPad
Lavendera Laundry screenshots
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 .
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.
LAWASH
GLOBAL NETWORKS INVESTMENTS SL
Do laundry, save time, reduce waste
Manage laundry tasks with self-service options. Schedule pickups and drop-offs. Track washing, drying, and folding progress. Receive notifications and view pricing details.
Laundryheap: On-Demand Laundry
Laundryheap Limited
Wash, dry, and deliver clothes
Schedule pickup, select services like wash, dry cleaning, or ironing, and track delivery status. Book wash & iron combos, schedule duvet cleaning, and receive clean items within 24 hours.
Woodfield Laundromat Express
Woodfield Laundromat Express INC
Schedule laundry pick-up and drop-off
Schedule laundry pick-up and drop-off times. Book services online instantly. Reschedule or update preferences via . Pay for services directly. Track order status and communicate with attendants.
Nuuly
URBN SR LLC
Rent clothes and return them monthly
Rent clothing items monthly for personal use. Select up to six pieces from various brands and styles. Keep items for the month with included laundry and repairs. Return items at the end of the rental period.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.