Compare the Top Emotion Recognition Apps for iPad as of September 2024

What are Emotion Recognition Apps for iPad?

Emotion recognition software, also known as emotion AI software, is a type of software that uses artificial intelligence and facial recognition in order to detect and analyze human emotions in videos, photos, live cameras, speech, or written text. Emotion recognition software has many use cases across product, marketing, sentiment analysis, visual detection, and more. Compare and read user reviews of the best Emotion Recognition apps for iPad currently available using the table below. This list is updated regularly.

  • 1
    Luxand

    Luxand

    Luxand

    Luxand FaceSDK is a cutting-edge, cross-platform software development kit designed to deliver high-performance face recognition, identification, and facial feature detection. Perfect for software developers worldwide, Luxand FaceSDK integrates seamlessly with web, desktop, and mobile applications, enabling face-based user authentication, as well as automatic face detection and recognition, elevating the user experience to new heights.
  • 2
    Resonate

    Resonate

    Resonate

    The customer experience management platform allows you to scale customer-centricity throughout your organization. Allowing brands to listen, learn and delight customers. Empowering over 10,000 frontline staff across leading businesses. Powering global customer experiences on 4 continents. We come with deep experience in the customer experience domain having launched successful feedback programs for marketing, customer experience, digital, group operations, and more. We also apply expertise from many domains, to help our partners connect data across divisions and bring new holistic insights to their teams that create impact. The Resonate CX Platform provides an end-to-end customer experience management platform that is geared to complexity and scale. The analytical component of this platform is unique in the way that it visualizes customer data, both structured and unstructured data (e.g. ratings and comments) in one integrated environment.
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