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Beauty AR SDK

Beauty AR Technology: Possibilities And Use Case

Beauty AR has become a de-facto feature for every camera app. Its high business value evidenced by its broad user base. This post provides an outline of AR beauty and face changing technology. Learn how it works, understand its possibilities and see how you can integrate face beautification features into your app.

What Is Beauty AR Technology

Beauty AR is a simple and easy-to-use Photoshop option in the pocket for anyone with a smartphone. The digital face beautification technology allows users to tune, retouch, or change any aspect of their appearance in an instant.

beautificationBeauty AR Technology For Photo And Video Processing

Today, modern photo and video editing tools have advanced so far that users can go beyond mere retouch. They can naturally transform into someone else trying on styles, makeup outlooks and hairstyles by a tap. With advanced computer vision and deep learning algorithms under the hood, digital face beautification does the job so perfectly that sometimes it’s hard to say what’s real. 

How Developers Benefit From Beauty AR Technology

By integrating face editing features into their apps, developers can increase their active user base and session time. Face altering is still a novelty and can spread like a fire. It’s a great tool to drive traffic to the app organically, by “word of mouth”. It takes one celeb to share a selfie, and the rest will pick up the trend.

In telecommunications and video conferencing, beauty filters remove the barrier to distant communication. With them, users can enjoy conversation without having to worry about their appearance.

Standalone beauty try-on apps are in demand too. Over the recent years, they have grown in numbers due to the pool of benefits they deliver. They are easy to target and monetize for brands and cosmetic companies.

What Are Beauty AR Features 

Today’s most popular portrait editing tools include morphing, face tuning, virtual makeovers, filtering and facial feature adjustments. Each of these features finds its application in a variety of domains. Here, we take a closer look at how face editing works and its use cases.

Face Morphing

Morphing allows users to change the size and shape of the face. By moving the vertices of the 3D model of the face, you can slim down cheeks, chin and nose to name facial features more delicate. 

morping allFace Beauty API Demo: Morphing

On the technical side, morphing effects are designed with the face mesh applied to the base mask. The example below shows the base mask (pink contour) and the morphing effect (green contour). The morphed face mask is applied to the recognized user with the help of face tracking technology. 

face morph exampleBeauty Filter: Base Mask and Morphing Effect 

Video Face Beautification 

Portrait beautification includes tools, filters and algorithms to enhance the face. Among its primary components helping to improve the user's attractiveness are skin smoothing, also called face softening, teeth whitening, LUTs and eyes-effect. 

The face beautification technology can be integrated as an all-in-one retouch filter to address camera distortion and improve the video communication experience. These features can be used separately in full-featured face editing apps where the main goal is to enhance a selfie.

Face Retouching

In contrast with face beautification aimed to enhance the image, the blemish removal tools can help users fix their appearance imperfections. Users can remove acne, wrinkles, spots and eye bags in photos. The computer vision algorithms are trained to perform specific tasks based on the input face data like skin color.

eye bag removal Face Beauty API Demo: Eye Bag Removal

AI retouching achieves the most realistic effect similar to professional photography. The example below showcases the face skin smoothing algorithm. Unlike the blur filters that can make a face over-smoothed, the algorithm retains the skin texture and achieves natural beauty.

pjimage (1)-1Face Beauty API Demo: Skin Smoothing

AR Makeup (Coloring)

AR makeup technology has firmly established itself in e-commerce, allowing people to test cosmetics virtually with facial recognition. It’s also widely popular in face editors, photo and video retouching apps where users can have fun with different makeup looks and hair colors.

ar hair colorFace Beauty API Demo: AR Hair Color

Whether you’re developing a makeup app, building a smart beauty mirror or looking to power your cosmetics web store with virtual try-on, AR makeup technology creates a true-to-life digital experience of physical products.

Face Modifiers 

AI-powered face modification technologies can drastically change a face. Ageing filters to visualise how you could look in the future. Face Swap algorithms that merge two faces for entertainment purposes like in Snapchat or stand-alone face editing apps. Here is an example of lips changing algorithms that can add volume.

lips reshareFace Beauty API Demo: Lips Reshape

Lips morphing can be integrated with medical apps to demonstrate the effect of a lips filler simulator. Unlike filter-based morphing, it builds on a lips segmentation neural network to accurately detect the shape of a user's lips and realistically augment them.

How to Add Beauty AR Features to Your App: SDK and APIs

If you want to integrate the face editing features into your app, you can use the Beauty AR SDK. Depending on the feature set, the SDK is supplied with Face Beauty API or Makeup API. 

The API allows you to call face editing features in your app using predefined methods. Instead of delving into SDK core functionality and writing code, you can use the corresponding methods to edit the face. 


Face Beauty API

The Face Beauty API calls methods designed to help you integrate face modification and touch-up functionality into your app. It aims to make the user feel comfortable about the camera experience.


Makeup API

The Makeup API allows you to integrate virtual makeup try-on features in your app. Users can test contouring, foundation, eye makeup, lipstick and more. You can create AR try on experiences from single products, combined makeup filters to complete virtual makeovers.

Both the Makeup API and Beauty API use the same face effect to call beautification or makeover features. As a result, you can easily combine these features in your app to develop full-featured face editors that match your audience and use case.

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Beauty AR Technology Use Cases

AR beauty try on and face editing functionality can be perfectly used as a standalone app or integrated into other apps. Here are apps and features you can build with Face Beauty API.


Photo and video editing software

Using Face Beauty API, you can develop full-featured face editor apps or integrate them into your photo and video editing software. Face editing technology makes apps more feature-rich and increases user engagement giving users multiple options to modify their appearance.

MorphingLet uses morph features independently as in photo editors


Live streaming

Beauty filters integrated with live streaming apps can inspire users to generate more content. The beauty AR technology runs perfectly on all mobile platforms and the web.


Video conferencing

Skin smoothing and AR beauty filters can automatically enhance the user appearance during virtual meetings. 


Entertainment

Beauty AR features can come as part of AR masks together with rich graphics and animation. Users can enjoy to the fullest the most quality and varied filters like Snapchat or TikTok provides.

funny effect 2Bring in fun morph filters in your Snapchat-like app


Medical apps

Let users preview effects from plastic surgery: fillers, facelifting or botox. 


Beauty salon apps

The technology allows beauty salons to demonstrate the before/after effect of cosmetic procedures and demo skincare products.

skin recolorShowcase skin tan before and after effect


Video chat apps

Many apps integrate video chat and camera presenting functionality. Beauty AR features can be a valuable add-on to music and karaoke apps, dating apps and social games to enhance the user experience.

Summing up

Today, face editors are among the most widespread applications available across the entire spectrum of smartphone cameras. The Global Photo Editing Software Market was estimated at $773.3 million in 2019, with a projection to grow to $1,485.2 million by 2027. 

Users have embraced the face beautification technology making it part and parcel of their digital lives. As users are getting more selective and the technology becomes more common, developers struggle to market new camera apps effectively. Discover how you can create an unparalleled Beauty AR experience in your app with our technology.

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