Flormar Perfect Coverage Foundation 115 Toffee
Product Images NDC 61722-260

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Flormar Perfect Coverage Foundation 115 Toffee (NDC 61722-260). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Kosan Kozmetik Sanayi Ve Ticaret A.s., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

Bottle (Bottle)

Bottle (Bottle)
This is a product description for a foundation that claims to have perfect coverage for up to 12 hours while also having SPF 15. The foundation is said to cover skin imperfections and create a smooth skin feel with sweet almond oil and olive oil. The formula is described as being semifluid with a soft and rich texture, providing comfortable and long-lasting makeup for a young, healthy, hydrated, and protected skin. The product is 30 ml in volume and should be shaken well before use. The ingredients list presents various oils, polymers, acids, parabens, and minerals, and the foundation might contain titanium dioxide and iron oxides. The manufacturer is Lormar Cosmetics.*
FDA Label Image

Box (Box)

Box (Box)
This description talks about a foundation cream that covers skin imperfections and makes skin appear smoother. The cream contains an active ingredient that helps to make the skin appear healthy, hydrated and younger, and it also has broad-spectrum SPF 15 sunscreen to prevent sunburn and early skin aging. The cream has a richly textured formula that provides comfortable and long-lasting make-up. It is advised to apply the cream every two hours if spending time in the sun. The product comes in a 1.0 fl oz (30 ml) package, and cautionary instructions are provided.*

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