Apps Like Z-Laundry for iPhone and iPad
Z-Laundry screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.
Laundry Hub
The Laundry Hub LLC
Pick up, process, deliver
Schedule pickups and track delivery status in real time. View service details and quality assurance steps. Receive updates on processing times and order status. Contact customer care for support or inquiries.
Speed Queen
Alliance Laundry Systems, LLC
Pay for laundry from your phone
Find nearby laundry machines and check their availability. Pay for use via phone. Receive notifications when laundry is complete. Track progress and manage sessions remotely.
hampr: Laundry Service App
Hampr LLC
Wash clothes and return them next day
Place orders for pickups and tracking through a simple interface. Customize preferences and schedule pickups. Pay with transparent per-load pricing. Receive cleaned clothes the next day.
Clean Avenue Laundry -
Clean Avenue Laundry LLC
Order and get clothes delivered
Schedule or dry cleaning pickups and deliveries. Set pickup times, select service options, and track order status. Receive clothes at your doorstep with same-day delivery available.
One Tap Away
Happily Inc.
Pay for laundry and shop discounts
Manage laundry payments with to operate laundromat machines without cash. Access a marketplace for discounted laundry supplies and related products. Track usage and receive notifications for machine status.
Rinse | Laundry & Dry Cleaning
Rinse, Inc.
Your clothes and schedule pickups
Schedule pickups and drop-offs with real-time tracking. View delivery status and estimated arrival times. Set recurring wash schedules and receive notifications for order confirmations and completion.
Spruce: Cleaning & Chores
Spruce Services, Inc.
Book and manage service requests
Schedule one-time or recurring like floors, doing dishes, or clearing clutter. Add to house services to reduce prep time. Book fractional services with background-checked, licensed, and insured professionals.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.