Product Images Caudalie Vinopure Acne Serum

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Caudalie Vinopure Acne Serum NDC 76296-070 by Caudalie Usa 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.

10 mL Primary Label - 10 mL Primary Label

10 mL Primary Label - 10 mL Primary Label

This is not readable.*

30 mL Primary Label - 30 mL Primary Label

30 mL Primary Label - 30 mL Primary Label

30 mL Secondary Label - 30 mL Secondary Label

30 mL Secondary Label - 30 mL Secondary Label

This text contains information about an Acne Medication with Salicylic Acid at 0.5% concentration. It provides directions for use, warnings, and inactive ingredients. The product is described as an Acne Serum that aims to treat and prevent acne, targeting various types of acne and helping improve skin texture. It also mentions the use of Niacinamide and has Antioxidant grape seed extract. The serum is non-comedogenic, dermatologically tested, and suitable for sensitive skin. It is manufactured in the USA and provides a contact number for inquiries. The serum comes in a 30 mL bottle.*

Acne Set Label - Acne Set Label

Acne Set Label - Acne Set Label

This is a description of skincare products specifically designed for acne-prone skin. The products included are a purifying gel cleanser, purifying toner, acne serum, and moisturizing mattifying fluid. The gel cleanser helps to cleanse the skin, while the toner is designed to balance oil production. The acne serum is meant to treat and prevent acne, and the moisturizing mattifying fluid hydrates the skin while controlling excess oil. The products are from the brand Caudalie and are part of a skincare routine for acne-prone skin.*

* 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.