Product Images No7 Soft And Sheer Tinted Moisturiser Dark

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Product Label Images

The following 2 images provide visual information about the product associated with No7 Soft And Sheer Tinted Moisturiser Dark NDC 61589-1906 by Bcm Cosmetique Sas, 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.

Soft and Sheer Tinted Moisturiser carton - Soft and Sheer Tinted Moisturiser carton

Soft and Sheer Tinted Moisturiser carton - Soft and Sheer Tinted Moisturiser carton

Soft & Sheer Tinted Moisturizer is a skincare product that provides sunscreen SPF 15. The product includes light-reflecting particles that smooth the appearance of lines and flaws for a natural finish. It is an excellent product that hydrates for 12 hours and can be applied evenly 15 minutes before sun exposure. It is not suitable for kids under 12 years and not intended for protection while sunbathing. The Soft & Sheer Tinted Moisturizer has active ingredients of octinoxate 5% and titanium dioxide 1.9%. You should avoid contact with the eyes, and if irritation occurs or lasts, stop use and ask a doctor.*

Soft and Sheer Tinted Moisturiser tube - Soft and Sheer Tinted Moisturiser tube

Soft and Sheer Tinted Moisturiser tube - Soft and Sheer Tinted Moisturiser tube

This is a description of a Soft and Sheer Tinted Moisturizer that is suitable for all skin types. It has a sunscreen SPF 15 and hypo-allergenic ingredients that help protect the skin from aging effects. The moisturizer smoothly hydrates the skin for 12 hours and provides a natural finish by evening out the complexion. It also contains light-reflecting particles that help minimize the visibility of fine lines and flaws. The product comes in a squeeze bottle, and before using, shake it well and apply it evenly like your regular moisturizer. It is dermatologically tested and manufactured in France.*

* 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.