Product Images Ultra Balm Moisturizing Protective Balm For Lips Spf 20 Cerise Brise
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Ultra Balm Moisturizing Protective Balm For Lips Spf 20 Cerise Brise NDC 43596-0889 by Ventura Corporation 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.
Cerise Brise - CJ 57847 A (CERISE BRISE)
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This is a product description for a protect balm for lips with SPF 20 and net weight of 0.14 oz. The product is distributed by Belcorp USA, Miami, and in Puerto Rico by Ventura Corp. The text contains various errors, making it difficult to understand in parts.*
Coral Petale - CJ 57847 A (CORAL PETALE)
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Nude Translucide - CJ 57847 A (NUDE TRANSLUCIDE)
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This is an output of mixed text types containing random letters, numbers, and symbols. Language is not identifiable. Therefore, the description cannot be generated.*
Rose Cotton - CJ 57847 A (ROSE COTTON)
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This is a collection of text obtained from several sources, making it hard to generate a complete and accurate description. There is no clear context or subject, and much of the text is incomplete or contains typos. The text includes information about lip balm with SPF 20, a company called Lbel, and distribution in the US and Puerto Rico. Some of the text might be using non-English characters. Overall, it is not possible to generate a useful description.*
Rose Paradise - CJ 57847 A (ROSE PARADISE)
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This is a promotional text with information about a lip moisturizing product that contains SPF 20 and comes with a net weight of 0.14 oz. The text also includes information on where the product is distributed and produced. Additionally, the text includes some not-readable characters and occasional typographical errors.*
* 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.