Product Images Lbel Effet Parfait Spots Reducing Effect Foundation Spf 18 - Claire 1

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Lbel Effet Parfait Spots Reducing Effect Foundation Spf 18 - Claire 1 NDC 43596-0007 by Ventura Corporation, 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.

Effet Parfai 8g A - EffetParfait8gA

Effet Parfai 8g A - EffetParfait8gA

The L'BEL EFFET PARFAIT foundation is a spots reducing effect and has SPF 18 with active ingredients such as octinoxate and oxybenzone, which help prevent sunburn. However, it is not effective in preventing skin cancer or early skin aging. The foundation should be used externally and not on damaged or broken skin and should be kept out of eyes. If a rash occurs, stop using it and contact a doctor. It is distributed by Ventura Corporation in Puerto Rico and Belcorp USA in San Francisco, California, and made in Colombia.*

Effet Parfait 8g B - EffetParfait8gB

Effet Parfait 8g B - EffetParfait8gB

Effet Parfait by L'BEL offers a line of perfecting makeup that utilizes Perfecting Technology to transform the appearance of the face, adding luminosity and a youthful glow. In addition to concealing and correcting imperfections, the foundation with SPF18 and a photo bright complex technology helps to diminish existing spots, evens out skin tone and conceals dark areas. The Effet Parfait line of products complement one another and can be used in sequence to attain perfect skin. However, the text contains warnings about the product not preventing skin cancer or early skin aging and to use on damaged or broken skin, and if rash occurs, contact a doctor.*

Effet Parfait 8g C - EffetParfait8gC

Effet Parfait 8g C - EffetParfait8gC

* 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.