Product Images Spf 30 Daily Sunscreen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Spf 30 Daily Sunscreen NDC 81136-001 by Brand Evangelists For Beauty Ltd., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Label - Label

Label - Label

This is a drug facts label for a daily sunscreen with SPF 30. The sunscreen contains 22% zinc oxide to protect against UVA and UVB rays, 1% POLLUSTOP® to protect against pollutants, and 2% shea butter complex to moisturize and calm skin. The sunscreen is formulated for all skin types with low irritation and is makeup-friendly. It is a 100% mineral UV filter sunscreen that is reef safe. The label provides directions on how to use the product and prevent sunburn and other skin blemishes. It also includes information on inactive ingredients and how to recycle its container. Customers can call a toll-free number or visit a website for skin care advice.*

Tube - Tube

Tube - Tube

The text describes a skincare product called THEINKKEYLIST, which is 1.7 US fl.oz/50ml in volume. The product is a sunscreen with SPF 30, designed to be used on the face and neck after moisturizing, and at least 15 minutes before sun exposure. It contains 22% Zinc Oxide as the active ingredient, which helps to protect the skin from UVA and UVB rays. The product is also recommended for use on other areas that require protection. The tube and cap of the product are recyclable. The text also includes instructions on how to use the product and precautions to be taken, such as avoiding contact with eyes and stopping the product's use if a rash occurs. The product appears to be manufactured by a company called Brand Evangelists of Beauty Linded, located at 221 Riersyea SinFifr Hobosen. W 07030.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.