Do you want to know three easy-to-use APIs for analysing facial expressions in photos? If so, keep reading!
It is obvious that emotions play a big part in our lives since they have a big influence on our behavior and decision-making. For instance, we frequently base our judgment and conclusions on our emotions rather than employing logic. This is something that many industries have recently started to take into consideration; since emotions can affect the way we receive a new product; or how we deal with other people in workplaces.
Due to the huge impact that emotions have on our life; the branch of artificial intelligence known as emotion detection and analysis has recently become increasingly popular. Nowadays, there are numerous AI-powered APIs available that can accurately identify and analyze emotions; offering a technological solution that can help anyone recognize emotions more efficiently. This way, anyone can use emotion detection APIs to understand others better easily and quickly!
Which API Should You Use For Analysing Facial Expression In Photos?
Additionally, using APIs is easy and requires no effort or programming skills. You only need a computer, an internet connection, and a reliable API provider in order to use one.
When determining which APIs on the Internet are suitable for your needs; you need to pay attention to each of their capabilities. This is due to the fact that not all APIs that are offered online are dependable or simple to employ. That is why, we have listed the three easiest to use and most potent emotion detection APIs for analysing facial expressions in photos to help you make a decision!
1. Emotion Detection API
This one may be found at the reputed API marketplace Zyla API Hub and is a reliable and easy-to-use API. Emotion Detection API uses cutting-edge artificial intelligence and statistical analysis to precisely identify human face microexpressions and gestures. Then it divides them into groups according to the seven main emotions: neutral, happiness, sadness, surprise, anger, fear, and disgust.
To use Emotion Detection API, just register at Zyla API Hub. You can do so quickly and without spending a cent. Then, simply provide the URL of the image you wish to analyze and execute the API call. This API will immediately provide a response with an emotion percentage ranging from 0.01 to 0.99. The emotion is more accurate, the higher the percentage!
2. Noldus Face Reader API
An easy-to-use API that is primarily used in academia is Noldus Face Reader API. This AI-powered tool uses a database of more than 10.000 facial expression pictures. The API then analyzes six basic facial expressions using 500 important facial points.
To precisely identify emotions, Noldus Face Reader API also determines the position of the head and the direction of the eyes. Simply supply the image you wish to analyze, and the API will handle the rest, to use it!
3. Kairos API
Another approachable tool is the emotion analysis API provided by Kairos. When using this API, all you need to do is supply the image you want to analyze in order to identify human facial expressions. The system then divides them into five categories: smiles, surprise, enjoyment, aversion, and sleepiness.
Moreover, Kairos provides a wide range of picture recognition tools in addition to its emotion analysis. Endpoints of its API include gender identification, age categorization, emotional acuity, and facial recognition in both still and moving images.
Related post: Save Time And Money By Using An API For Emotion Detection
Also published on Medium.