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Infuse Affdex emotion sensing and analytics anywhere
Emotion-enabled applications open a new world of real-time interaction in response to how people feel, allowing digital experiences to come to life. Business processes and decision-making are more effective, when data platforms are enriched with unique emotion data. We have developed robust SDKs and APIs to allow developers to infuse emotion analytics and insight into their offerings. Developer documentation can be found on our Developer Portal.
Affdex SDKs enable developers to create interactive and exciting emotion-aware apps and digital experiences. Affdex SDKs capture and report emotion insights from facial expressions using iOS, Android, Mac OS X, Windows, or Linux devices, analyzing faces obtained from the device camera, a video or even a single image—processed on-device and in real-time. If you need a Developer License or Commercial Distribution License for the Affdex SDKs, please contact us at firstname.lastname@example.org.
Leveraging the Affdex emotion recognition SDK, we were able to provide a unique way for consumers to sample Hershey products in real time while they were making a decision at the point of purchase. No other emotion recognition SDK has been as accurate and easy to use as Affectiva's Affdex SDK.
Describing feelings in detail is never easy. By building Affdex facial expression analysis technology into our Link surveys, brand owners can get at the emotional response that people might not be able to articulate. We can make non-verbal emotional measurement truly scalable and cost-effective for the first time.
Our robust APIs enable you to feed emotion data into your business processes and data platforms, enriching your analytics and decision making with unique emotional insight. If you would like to discuss use of our APIs, please contact us at email@example.com.
Embed Affdex in surveys—seamlessly, securely, with no redirects
Obtain emotion analytics and normative data via RESTful APIs
Automate the interaction between Affdex and your systems