Do you want to use the most user-friendly emotion analysis API available on the market? If so, here are three options for you!
Nowadays, emotion analysis is a fascinating fusion of psychology and technology. Since emotions are hard to read, and constantly change; many industries have turn to AI-powered tools to accurately identify and analize their client’s / patient’s emotions. This is due to the fact that, regardless of the emotion they are trying to identify; these tools offer a technological solution that can help them gather critical data for their research, or marketing campaign.
Although it is possible to say that emotion analysis APIs may be reductionist; they work efficently since many of them group human emotions into seven main categories: happiness, sadness, rage, fear, surprise, neutral, and disgust. The algorithms used for facial emotion detection identify faces in photos, and detect microexpresions by analyzing the relationship between the face’s points. In addition, its system bases its work on carefully chosen data sets compiled in academic settings. So APIs’ performance are mostly accurate and cost-effective.
Which Are The Most User-Friendly Emotion Analysis APIs?
In addition, APIs are simple to use and require minimum effort and code knowledge. To use one, you’ll just need a computer, an internet connection, and a trustworthy API provider.
However, you should pay attention when deciding which APIs are best for your needs among those on the Internet. This is because not all APIs that are available online are reliable or easy-to-use. So, in order to aid you in your decidion-making, here are the three most user-friendly and effective emotion analysis APIs available on the market;
Emotion Detection API
This one is a trustworthy API that is available at the reputable API marketplace Zyla API Hub. Emotion Detection API precisely recognizes human facial microexpressions and gestures using cutting-edge artificial intelligence and mathematical analysis. Then, it classifies them into categories based on the seven fundamental emotions; which are; neutral, happiness, sadness, surprise, anger, fear, and disgust.
Emotion Detection API is super user-friendly and works efficiently, To use it you just need to sign up at Zyla API Hub, and then provide the URL of the image you want to analyze. Within seconds, this API will deliver a response which will include an emotion percentage ranging from 0.01 to 0.99. The more higher the percentage; the more accurate the emotion.
Kairos API
Kairos’s API for emotion analysis is another user-friendly tool. This API recognizes facial expressions from people by simply providing the image you want to analyze. Then, its system categorize them into five basic emotions: smiles, surprise, enjoyment, aversion, and sleepiness.
In addition to its emotion analysis, Kairos offers a huge selection of image recognition solutions. Endpoints of its API include facial recognition in both still images and moving pictures, age classification, emotional acuity, gender identification, and more.
Noldus API
Noldus Face Reader API, is a user-friendly API that is mostly used in academia. This tool is AI-powered and employs a database of more than 10.000 images of facial expressions. So, using 500 key facial points, the API analyzes six fundamental facial expressions.
Noldus Face Reader API additionally determines the position of the head and the direction of the eyes to accurately identify emotions. To use it, just provide the image you want to analyze, and the API will take care of the rest!
Related post: What Is Emotion Analysis And How To Do It With An API
Also published on Medium.