LectroFan High Fidelity White Noise Machine with 20 Unique Non-Looping Fan and White Noise Sounds and Sleep Timer


Price: $49.95
(as of Nov 04, 2024 23:34:10 UTC – Details)



Lectrofan is ideal for relaxation, study, speech privacy, or any situation where you’d like more control of your audio environment. It’s also your personal white noise and fan sound machine to ensure a better night’s sleep and peaceful rest. The LectroFan offers twenty unique digital sounds to help block noises, and you can choose from ten different electric fan sounds and ten variations of pure white noise. All sounds can be personalized with pin-point volume control to select across a wide range of sound levels – from a whisper, to many times louder than mechanical fan based conditioners.
LectroFan Classic: This compact sleep sound machine from Adaptive Sound Technologies offers 20 non-looping (non-repeating) sounds, including fan sounds and white noise, to foster a tranquil sleep environment or provide speech privacy
Noise Masking Mastery: With precision volume control, the LectroFan sleep machine for deep sleep drowns out disruptive noise, helping to support sleep and relaxation for all ages
Sleep Timer Feature: Equipped with a convenient sleep timer, this sleep device can be set to automatically turn off, ensuring energy-efficient use while you drift into peaceful slumber
Portable Design Specs: Lightweight and USB-powered, this white noise machine for bedroom or travel measures 4.4 x 4.4 x 2.2 inches, perfect for on-the-go restorative rest
Innovative Solutions for Better Sleep: Adaptive Sound Technologies is focused 100% on designing, building, and selling quality and innovative sleep sound machines

Customers say

Customers like the sound quality, size, and sleep quality of the noise machine. They mention it’s effective in blocking out annoying sounds, is small but powerful, and gives them a great night sleep. Some appreciate the intuitive controls and say it’s a great feeling to be able to control their sonic environment.

AI-generated from the text of customer reviews

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