Product Images Neutrogena Healthy Skin Glow Sheers Illuminating Tinted Moisturizer - Fair To Light 20 Sunscreen Broad Spectrum Spf30
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Product Label Images
The following 3 images provide visual information about the product associated with Neutrogena Healthy Skin Glow Sheers Illuminating Tinted Moisturizer - Fair To Light 20 Sunscreen Broad Spectrum Spf30 NDC 69968-0115 by Johnson & Johnson Consumer 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.
PRINCIPAL DISPLAY PANEL - 32 mL Tube Label - Ivory to Fair 10 - neutrogena 01
This appears to be a description for a tinted moisturizer with sunscreen. The product provides sheer and natural coverage with a touch of shimmer while also protecting against broad spectrum SPF 30. The moisturizer is lightweight and includes an antioxidant blend and is oil-free. The color may match ivory to fair skin tones. The text includes some gibberish at the end and mentions "FPO," which could refer to a mailing option.*
PRINCIPAL DISPLAY PANEL - 32 mL Tube Label - Fair to Light 20 - neutrogena 02
This appears to be a description of a tinted moisturizer with sunscreen, broad spectrum SPF 30, that is lightweight and oil-free. The shade is fair to light 20 and features a formula with an antioxidant blend. It provides sheer coverage with a touch of shimmer for a natural-looking finish. However, some of the text at the end is not readable or appears to be a typo, so it is unclear if there is any additional information.*
PRINCIPAL DISPLAY PANEL - 32 mL Tube Label - Light to Medium 30 - neutrogena 03
This is a lightweight tinted moisturizer with broad spectrum SPF30 sunscreen that has an antioxidant blend and is oil-free. It is suitable for light to medium skin and contains a hint of shimmer for a radiant look. Unfortunately, there is no available information on its brand or origin.*
* 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.