GE GTD65EBSJWS 27″ Efficient Reliable Wi-fi enabled Electric Dryer- White

Description

The GE GTD65EBSJWS Electric Dryer delivers superior drying performance with advanced features designed to simplify laundry care. Built with efficiency and durability in mind, this dryer offers a spacious 7.4 cu. ft. capacity, making it ideal for handling large family loads with ease.
Multiple drying cycles, including sensor dry and timed options, provide flexibility for different fabrics and laundry needs. The sensor dry technology monitors moisture levels to prevent over drying, protecting clothes while saving energy. A powerful motor ensures consistent performance, while the extended tumble option helps reduce wrinkles for a polished finish.
The GTD65EBSJWS also features a reversible door for installation flexibility, bright interior lighting for clear visibility, and intuitive electronic controls for simple operation. Its durable design and modern styling make it a reliable addition to any laundry room.
Families appreciate the combination of generous capacity, dependable drying, and GE’s trusted reputation for quality appliances. Quiet operation and energy‑efficient performance make it a smart choice for everyday use.
The GE GTD65EBSJWS Electric Dryer offers a blend of reliability, efficiency, and convenience, making it an excellent solution for households seeking advanced laundry care.

Features

• Remotely start your wash cycle and get alerts when the cycle has finished.

• Automatically monitors the temperature and moisture to prevent over-drying.

• Prevent wrinkles with a no heat tumble setting.

• Control compatible smart appliances with Amazon Alexa. Simply speak your commands and Alexa will do the work for you.

• Control compatible smart appliances with Google Home. Simply speak your commands and your Google Home will do the task for you.

• Customize your dryer settings and save as a default for future use.

• Tracks the dampness of clothing and sends an alert when clothes are ideal for ironing.

• Saves up to 10% on energy costs by optimizing the temperatures on cycles.

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