Do you want to use an emotion detector API with excellent speed and performance? If so, here are three of the best emotion detector APIs!
It is obvious that emotions play a big part in our lives because they have a big influence on our behavior and decision-making. For instance, we frequently base our judgment and decisions on our emotions rather than using logic; and we realize this once the action is already done. This is why, keeping track of them is essential for anyone who deals with people daily; so one can better grasp why someone is acting as such. However, detecting emotions is quite difficult; some people are good in reading them, while others are not so much.
Fortunately, technology has advanced to the point where a significant amount of software with online API access can now match our ability to recognize emotional gestures. These algorithm-driven emotion detector APIs analyze images using symplectic interpretation and facial recognition to accurately identify human emotions like happiness and sadness. And the best of all is that anyone can use one!
Which Are The Best Emotion Detector APIs?
Emotion detector APIs mimic the human ability to recognize emotional gestures. This is done automatically since they use artificial intelligence to examine the relationship between facial point; and categorize them in fundamental emotions. Overall, using an API for emotion detection is the best way to quickly analyze human facial expressions.
However, since there are many APIs available today on the Internet, it can be quite difficult to choose a reliable and secure one, that guarantees a great performance. For that reason, we have found three of the best APIs for emotion detection with excellent speed and performance for you to choose from.
Emotion Detection API
Emotion Detection API is a reliable tool that is offered at the respectable API marketplace Zyla API Hub. This tool utilize cutting-edge artificial intelligence and mathematical analysis to recognize human facial microexpressions and gestures. Then, it categorize them following the seven fundamental emotions—neutral, joy, sadness, surprise, anger, fear, and disgust—.
Furthermore, this API is very easy-to-use and provides accurates results within seconds. The response includes an emotion percentage ranging from 0.01 to 0.99, with a percentage closer to 0.99 denoting a more accurate emotion. When using Emotion Detection API, you’ll have excellent performance and speed guaranteed.
Kairos API
The emotion analysis API from Kairos is also a solid resource to use. The system recognizes and analyzes human facial expressions in a picture, in order to categorize them into five basic emotions. These are surprise, enjoyment, aversion, and sleepiness.
Through their API, Kairos offers a wide range of image recognition solutions. Endpoints of Kairos emotion analysis API include facial recognition in both still images and moving pictures, gender identification, age classification, emotional acuity, and more. Visit the Kairos website for more details.
EmoVu API
Another excellent API is EmoVu created by Eyeris. Automatic learning and the recognition of microexpressions are some of its products. This enables any business to calculate with great accuracy the emotional resonance and impact of its content or product on its target market.
Furthermore, EmoVu offers predictive analytics, making it possible to use it both before and after content launches. Besides, the extensive platform support provided by EmoVu also includes numerous tracking features, such as head position, inclination, eye tracking, open/closed eyes, and more.
Related post: What Is Emotion Analysis And How To Do It With An API
Also published on Medium.