Product Images Timeless Illuminating Makeup Spf 30 Simply Beige Merle Norman

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Timeless Illuminating Makeup Spf 30 Simply Beige Merle Norman NDC 57627-179 by Merle Norman Cosmetics, Inc, 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.

image description - Bottle

image description - Bottle

This is a description of a Merle Norman cosmetics product, specifically a Timeless Illuminating Makeup that also provides broad-spectrum SPF 30 protection. The product comes in a 30mL bottle and is designed to be applied generously and evenly 15 minutes before sun exposure. The makeup is dermatologist-tested and is water-resistant. However, the user should not use it on damaged or broken skin, keep it out of eyes, and reapply it every two hours. The active ingredients are Octinoxate 7.5% and Oxybenzone 2.0%. It is manufactured in Los Angeles, California, and imported by Merle Norman Cosmetics in Toronto, Ontario. Warnings are also given in case of ingestion and contact with a Poison Control Center.*

image description - Carton

image description - Carton

This is a drug facts label for a sunscreen product made by Merle Norman. The product is a broad spectrum makeup with SPF 30 that helps to prevent sunburn and reduce the risk of skin cancer and early skin aging due to sun exposure. The inactive ingredients include various chemicals and minerals, while the active ingredients are Octinoxate (7.5%) and Oxybenzone (2%). Directions for use include applying liberally and evenly 15 minutes before sun exposure and reapplying every 2 hours. The product is for external use only, and users are advised to avoid putting it on damaged or broken skin and keep it out of the eyes.*

* 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.