Best Free Emotion Recognition Software

Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.

Detect faces at various angles. Detect multiple faces in a photo simultaneously. With or without glasses. With any expression. High quality face recognition. One of the top recognition algorithms in the world. And blazing fast too. Find location of eyes, nose, mouth and many other points for each face detected in the photo. Apply attributes determination for gender and age, check if the person is smiling, have eyes open, lips sealed or wearing glasses. And even differentiate between clear and dark glasses! The cloud always on type of service allows for easy integration to any application: web, mobile, desktop or anything with Internet connectivity. SkyBiometry is free to start. Pick API functionalities and add it to your app! It only takes minutes. We believe that the rapid growth of cloud technologies open opportunities to deliver better products faster and scale out easier for our customers. And now we are ready to deliver the technology we know in the form you need.

Komprehend AI APIs are the most comprehensive set of document classification and NLP APIs for software developers. Our NLP models are trained on more than a billion documents and provide state-of-the-art accuracy on most common NLP use cases such as sentiment analysis and emotion detection. Try our free demo now and see the effectiveness of our Text Analysis API. Maintains high accuracy in the real world, and brings out useful insights from open-ended textual data. Works on a variety of data, ranging from finance to healthcare. Supports private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage. Protects your data and follows the GDPR compliance guidelines to the last word. Understand the social sentiment of your brand, product, or service while monitoring online conversations. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in the source material.

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

Our platform is developed in tandem with scientific innovations that reveal how people experience and express over 30 distinct emotions. Expressive understanding and communication is critical to the future of voice assistants, health tech, social networks, and much more. Applications of AI should be supported by collaborative, rigorous, and inclusive science. AI should be prevented from treating human emotion as a means to an end. The benefits of AI should be shared by people from diverse backgrounds. People affected by AI should have enough data to make decisions about its use. AI should be deployed only with the informed consent of the people whom it affects.

Discover and validate what consumers see, think, and feel beyond their conscious control on desktop and mobile. Online webcam eye tracking for identifying where consumers’ attention goes. Online emotion measurement for capturing consumers’ emotional statements during the interaction with digital products. Online implicit tests for uncovering true attitudes and thoughts hidden in the subconscious. Online solutions for remote usability research. We’ve designed the new product UXReality that completely replaces usability labs with a virtual solution. It allows you to do UX research both on desktop and mobile remotely. You get high-quality session recordings and can literally see through the users’ eyes. The solution includes AI-powered webcam eye tracking, emotion measurement, and surveys.

Are you looking to create truly emotionally engaging content? Look no further than Imentiv AI's advanced Emotion AI tool. Our machine learning models analyze the emotions of actors in your videos, providing deep insights into the emotional impact of your content. By understanding the emotions conveyed by your actors and story, you can anticipate how your audience will perceive your content. With Imentiv AI's video emotion analysis solution, you can create content that truly resonates with your viewers, capturing their hearts and minds. Analyze emotions accurately in the video and understand heuristics and biases in your video with the expertise of our trained psychologists. Enhance audience engagement and maximize ROI by analyzing ads, videos, and content with AI. Save time and effort by using AI for emotional impact analysis instead of running lengthy and expensive audience surveys.