Product Images Lbel Effet Parfait Spots Reducing Effect Foundation Spf 18 - Medium 5
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Product Label Images
The following 3 images provide visual information about the product associated with Lbel Effet Parfait Spots Reducing Effect Foundation Spf 18 - Medium 5 NDC 43455-0011 by Ventura International, 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
L'BEL EFFET PARFAIT spots reducing effect foundation is a skin product with SPF 18 formulated to prevent sunburn. It contains active ingredients such as Octinoxate and Oxybenzone. The product is intended for external use only and must not be applied on damaged or broken skin. It is important to rinse it off if it gets in the eyes. This product doesn't claim to prevent skin cancer or early skin aging, so it's advisable to limit sun exposure. The product is distributed by Ventura Corporation and Ventura International. Made in Colombia.*
Effet Parfait 8g B - EffetParfait8gB
Effet Parfait is a line of makeup products by LBEL that enhances skin's beauty through Perfecting Technology. The fine makeup line conceals and corrects imperfections while preparing the skin for applying makeup shades, providing maximum beauty and glow. The line includes a foundation with a spot-reducing effect and SPF18 that adapts to the needs of the skin, evens out skin tone, and conceals dark areas and spots immediately. The product should be applied generously and evenly before sun exposure and reapplied after two hours or after swimming or sweating. The line features a routine of four products that complement each other and provide perfect skin. The description includes warnings of skin cancer and skin aging and suggests seeking medical attention if a rash occurs.*
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.
