Allies Of Skin Sunless Tan Spf 50 Daily Self Tanner Liquid
Product Images NDC 83852-543

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 Allies Of Skin Sunless Tan Spf 50 Daily Self Tanner (NDC 83852-543). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Allies Group Pte. Ltd., 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

Inner Package (Inner Package)

Inner Package (Inner Package)
This is a description to evaluate: A sunless tan self-tanner with SPF 50. It is recommended to be used daily in the morning. Contains Vitamin C, Green Tea, Chamomile, Liquorice, Goji, and Centella Asiatica extracts. Offers broad-spectrum protection, is water-resistant for 80 minutes, and is part of the Allies of Skin product line. It also suggests reapplying the product liberally and washing hands after application. Appropriate warnings for usage are detailed on the packaging.*
FDA Label Image

Outer Package (Outer Package)

Outer Package (Outer Package)
This is a detailed description of a sunscreen product that includes information such as active ingredients, uses, directions for use, warnings, and other important details like inactive ingredients and the manufacturer's information. It also provides insight into the product's features, benefits, and key ingredients, such as DHA, Vitamin C, Green Tea Extract, and Licorice. The self-tanner sunscreen is water-resistant and offers broad-spectrum SPF 50 UVA/UVB protection. The product aims to provide UV protection while gradually giving the skin a sun-kissed glow and is formulated by Nicolas Travis from Allies Group.*

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