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Ratings and Reviews 0 Ratings
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What is DeepAR?
Discover a robust and intuitive SDK that facilitates 60 million augmented reality experiences monthly. Elevate your apps with a variety of 3D face masks and effects that offer enhanced performance when compared to Snapchat, all within a versatile SDK compatible with iOS, MacOS, Android, and HTML5. This comprehensive SDK not only supports the addition of 3D face masks and effects but is also designed to seamlessly integrate with Unity. Users can apply augmented reality effects to four faces at once across any device, ensuring a smooth experience without glitches. Leveraging advanced deep learning technologies, the SDK allows for real-time alterations in hair color during live video feeds. In addition, it provides the ability to effortlessly swap backgrounds, enriching the AR experience significantly. The technology is capable of recognizing various emotions—such as sadness, happiness, anger, surprise, and fear—within the video stream. It also tracks 17 critical body points, including the waist, shoulders, elbows, arms, and head, which facilitates improved interaction. Any 3D file can easily be converted into an AR asset, unlocking a world of creative opportunities. Enjoy the benefits of all these features while following a pay-as-you-grow pricing model. Registration is free, and integrating the SDK takes just a few minutes, with a variety of prebuilt integrations designed to streamline the process. With such a well-rounded suite of tools available, your AR projects can be elevated to unprecedented levels of creativity and engagement. The potential to create unique user experiences has never been more accessible.
What is Betaface?
We offer an extensive selection of pre-built components, such as SDKs for facial recognition, coupled with customized software development services and cloud-based web solutions, all focused on image and video analysis, including face and object recognition. Our cutting-edge technology caters to a variety of industries like video and image archiving, online marketing, entertainment projects, media content production, video surveillance, security software, and solutions for both end-users and B2B software developers. The Betaface facial recognition suite integrates a broad spectrum of complex processes, covering everything from simple face detection to in-depth face recognition, which involves identification, verification, and multiple matching methods (1:1 and 1:N). Moreover, it supports biometric measurements, tracking of faces and features within videos, and identifies characteristics such as age, gender, ethnicity, and emotions, while also evaluating skin, hair, and clothing colors, along with different hairstyle shapes. Our innovative technology is increasingly recognized across numerous sectors, including video and image archives, web advertising initiatives, and entertainment ventures, fundamentally transforming the management and utilization of visual content. By continuously evolving and adapting to the needs of our clients, we strive to remain at the forefront of technological advancements in this domain.
Integrations Supported
HTML
Unity
API Availability
Has API
API Availability
Has API
Pricing Information
$25 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
DeepAR
Company Location
United States
Company Website
www.deepar.ai/augmented-reality-sdk
Company Facts
Organization Name
Betaface
Date Founded
2007
Company Location
Germany
Company Website
www.betaface.com/wpa/
Categories and Features
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions