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What is Receptiviti?

By examining language, one can reveal a range of personality traits and underlying motivations. Receptiviti connects these traits to the Big Five personality framework, which includes 35 unique personality metrics. Through the evaluation of aspects such as authenticity, influence, and social bonding, individuals can better understand how they interact within social settings. This thorough analysis not only uncovers the motivations driving behavior—be it ambition, the quest for power, a longing for rewards, risk aversion, or a propensity for taking risks—but also highlights harmful or aggressive language that may reflect bias, hate, or violence toward specific groups. Moreover, the ability to determine the authorship of various written works adds significant value in areas such as literary critique, cybersecurity, forensic analysis, and the examination of social media communications. This multifaceted approach ultimately deepens our comprehension of communication across different environments. In an era where digital interactions dominate, the ramifications of these findings are extensive and significant, influencing how we perceive and engage with one another in an interconnected world.

What is Azure Face API?

Incorporate facial recognition technology into your applications to create a user-friendly and secure interface without requiring deep expertise in machine learning. This innovative solution offers capabilities such as face detection, which recognizes faces and their features in images, and individual identification from a personal database accommodating up to one million users. It also includes emotion recognition to interpret various facial expressions like happiness, anger, and fear, and the capacity to identify and group similar faces. You can perform face identification based on diverse traits and seamlessly implement facial recognition with just a single API request, whether utilizing cloud services or local containers. Emphasizing enterprise-grade security and privacy protocols, this technology enables the detection, identification, and analysis of faces in both images and videos, opening doors to a variety of groundbreaking applications. Furthermore, it allows for the simultaneous detection of multiple human faces and their respective attributes, significantly enhancing the user experience and broadening the scope of potential uses. With these advanced features, developers can create more interactive and responsive applications tailored to user needs.

Media

Media

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM
Unified.to

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM
Unified.to

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.01 per month
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

Receptiviti

Date Founded

2015

Company Location

Canada

Company Website

www.receptiviti.com/platform

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/face/#features

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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