Highly precise and accurate video emotion analysis allows you to analyze facial expressions in your videos, frame by frame, and download detailed reports in CSV, JSON files and a dashboard in PDF format.
Results will become visible only after viewing the video in slow motion. If you prefer a quicker but less detailed analysis that requires less runtime, please utilize the app: Analyze facial expressions in your videos.
Selecting a video from your device and analyzing it, or part of it, with our Emotion AI technology is incredibly easy. The tool will analyze the main face frame by frame, providing you with accurate data. Importantly, our technology does not send any data to external servers. Your video and all of your data remain strictly in local volatile memory, totally ensuring your privacy and security.
With this tool you will be able to detect:
- 98 affects (Russel, Sherer, Klaus model)
- 38 affects (Paltoglou and Thelwall model)
- quadrants (Russel, Sherer, Klaus model)
- 6 emotions (Ekman model)
- Number of faces
Delve into the intricate world of emotions like never before with the MorphCast app. Our revolutionary technology enables you to analyze facial expressions in your videos, frame by frame, empowering you with highly precise and accurate emotional insights. With just a few clicks, select a video from your device and let our Emotion AI technology meticulously analyze the main face in each frame, providing you with detailed data. Rest assured, your privacy and security are paramount—we never send your data to external servers, ensuring complete confidentiality.
Harness the power of our app to unlock a comprehensive range of emotional metrics, including arousal, valence, 98 affects based on the Russel, Sherer, Klaus model, 38 affects following the Paltoglou and Thelwall model, quadrants analysis using the Russel, Sherer, Klaus model, 6 emotions based on the Ekman model, attention, positivity, and even the number of faces detected. Download detailed reports in CSV and JSON formats, or access a comprehensive PDF dashboard to gain in-depth insights into your videos.
Experience the future of emotion analysis and embark on a transformative journey of self-discovery with MorphCast.
All settings and the license key are saved in the localstorage of your browser.
The video you choose from your device will undergo local analysis, and both the video and output data will remain on your device without being uploaded to any server, ensuring privacy and security throughout the process.
- Russell, J., Lewicka, M. & Niit, T. (1989). A cross-cultural study of a circumplex model of affect. Journal of personality and social psychology, 57, 848–856.
- Ekman, P. (1999). Basic emotions. Handbook of cognition and emotion, 98(45-60), 16.
- Scherer, Klaus. (2005). Scherer KR. What are emotions? And how can they be measured? Soc Sci Inf 44: 695-729. Social Science Information. 44. 695-792.
- G. Paltoglou and M. Thelwall (2013), “Seeing Stars of Valence and Arousal in Blog Posts,” in IEEE Transactions on Affective Computing, vol. 4, no. 1, pp. 116-123, Jan.-March 2013, doi: 10.1109/T-AFFC.2012.36.