Skin Tint Fx
Product Images NDC 68327-003

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Skin Tint Fx (NDC 68327-003). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cover Fx Skin Care, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Cover Fx Skintint Label (Coverfx Skin Tint)

Cover Fx Skintint Label (Coverfx Skin Tint)
This is a product description for a natural pearlized skin tint that uses minerals to enhance the appearance of the skin's sun-kissed radiance and tone. The tint is infused with peptides, ceramides, and multivitamins to rejuvenate, nourish, hydrate, and protect the skin. It contains hyaluronic spheres that capture and slowly release moisture back into the skin. The product is oil-free, wax-free, fragrance-free, and paraben-free. The directions for usage suggest to apply it before sun exposure and to shake it well before use. The text also includes manufacturing and distribution details.*
FDA Label Image

Cover Fx Skintint 1label (Coverfx Skin Tint1)

Cover Fx Skintint 1label (Coverfx Skin Tint1)
This is a description of a cosmetic product that enhances the appearance of skin by adding a hint of color and radiance. It also contains an infusion of peptides, ceramides, and multi-vitamins that help to rejuvenate, nourish, hydrate and protect the skin. The product also has moisturizing properties and offers an SPF of 30. The product comes in a 30ml/10floz container and should be shaken well before use. The product is made in Canada and distributed in the UK. If there is any adverse effect, people can report to the given address in New York.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.