To evaluate eye movement and determine a person's concentration on visual information, this model makes use of deep learning.

The Text Emotion Recognition API allows you to accurately identify and interpret the emotions expressed in a given piece of text.

Feelings Interpretation API: Unleashing the power of language decoding, this API discerns sentiments with precision, transforming text into nuanced emotional insights.

Attitude Assessment API: Decode emotions in text with advanced NLP, offering real-time insights. Enhance customer support, brand management, and market strategies.

Emotion Decoder API: Deciphers emotions in text, offering businesses and creators insights into user sentiments for personalized strategies and enhanced communication.

The Celebrity Face Recognition API is a powerful tool that can quickly and accurately detect celebrity faces in images. With over 10,000 recognized celebrities, the API uses advanc...

Unveil the power of precision with the Hand Detection API. Processing input images, reveals the intricate dance of hands. Decode images effortlessly and witness the magic unfold—de...

The Verbal Expression Analyzer API swiftly classifies text as positive, negative, or neutral, offering real-time insights for informed decision-making.

Blur faces in images for privacy protection with our Face Blur API, producing desensitized output images.

Analyze facial skin conditions with our Skin Analyze Advanced API, detecting skin color, texture, wrinkles, acne, spots, and more.

Emotional Tone API interprets text, discerns emotions, and aids empathetic interactions, benefiting customer service, content creation, and healthcare industries.

The Body Part Recognition API accurately detects and analyzes human bodies in images, providing 21 key points for each body, including the head, senses, neck, and limbs.

Transform photos into artworks with multiple artistic styles, including cartoon, pencil sketch, Gothic oil painting, and more with our Photo to Painting API.

Use this API to detect if a person is wearing a mask or not.

The Mood Analysis API analyzes and categorizes text into seven emotions, offering precise insights into anger, disgust, fear, joy, neutral, and sadness.

The BigFive Sentiment Analysis API uses advanced machine learning algorithms to analyze text and determine the emotions and personality traits expressed within it. It can classify...

"Language Mood Analysis API: Precision in gauging text emotions. Real-time insights for social media, customer feedback, and brand reputation management."

The Emotional State API accurately evaluates sentiment on various textual data and complementary functions for deeper insight.