Price: $65.85
(as of May 28, 2025 09:57:57 UTC – Details)
Product Description
Product Dimensions : 8 x 7.2 x 5 inches; 11.84 ounces
Item model number : RH-01
Batteries : 1 Lithium Polymer batteries required. (included)
Manufacturer : GOHIGK
ASIN : B0CR91859B
Country of Origin : China
【Skin Safe Design】GOHIGK LED therapy mask uses the fixed wavelength natural light waves to promote blood circulation, accelerate metabolism, produce rich collagen, increase skin elasticity and improve skin quality with no side effects.
【3 Color Light Therapy】This LED light face mask is designed with 3 different colors light source, red light (620-750nm) improve wrinkles and revitalize skin, blue light (476-495 nm) reduces and inhibit oil secretion, orange light (590-620nm) soften and smooth your skin.
【Suitable for All Skin Types】The 3 color LED photon mask with friendly design is perfect for all skin types, especial for T-zone oil skin, and it delivers facial beautification even for the most sensitive skin types, which can be an ideal gift for men or women you care about.
【Lightweight and Rechargeable】Our LED facial skin care mask is much lighter than other masks, and it can be charged by laptop or power bank with USB cable, so you can carry it around and enjoy beauty and skin care when you do other things.
【Easy to Operate】The LED photon beauty device is simple to use, just press and hold the button for 3 seconds to turn on the lights, push the button to change different colors as you need, and you can place the mask on face for 10-20 minutes each time.
GOHIGK offers 180 days free returns on all products, so act now.
Customers say
Customers find the LED face mask comfortable and easy to wear, with three LED colors targeting different skin issues, particularly noting how the red color lightens dark spots. The mask is lightweight, beneficial for skincare routines, and customers report noticeable results after just a few uses. They appreciate its brightness, with one customer mentioning their face appears radiant after each session.
AI-generated from the text of customer reviews
