Beauty AR SDK

Let users experiment with new looks in seconds, adoring eyes and skin with digital makeup. The filter includes:

• Eyeshadow of any color & transparency.
• Eyeliner for the upper or lower eyelid.
• Eyelashes of any length & color.
• Blusher applied to upper cheeks.
• Highlighter applied to nose, center forehead & chin.
• Contour applied to the lower cheeks and upper forehead.

Bring an easy to use blemish removal to your users for photo apps. The neural network recognizes the presence of skin defects on a user's face and retouches them based on the user's skin color. Users can remove skin defects in photos automatically or manually tapping on the desired area making their skin look perfect.

The effect is built on a neural network trained to recognize the neck area and a beautification algorithm. It hides small wrinkles and blurs the skin making it look younger in photos. Neck beautification is a useful add-on to selfie editing apps, as it makes the overall face touch up results more natural and organic.

Create an effect of a truly natural skin beautification in live streaming, video conferencing apps or professional photography. We developed a neural network which detects the area of the skin more precisely and blurs it in a sophisticated way. Skin beautification based on a neural network works on any skin color and is compatible with other Face AR features like virtual makeup or face filters.

Eye bags and dark circles make the face look old and tired. Makeup and beauty filters can’t provide the desired beauty effect there - recoloring or blurring doesn’t look natural. To solve this, we trained a neural network to segment and lighten the area under the eyes. It automatically removes the dark circles in photos and adjusts to the user skin tone.