VERN AI is an emotion recognition system that scores anger, sadness, fear, love, and humor in text on a 0 to 100% intensity scale.

VERN AI recognizes human emotions in text. It analyzes emotional cues in individual words and overall text, scoring each detected emotion from 0 to 100% to indicate its intensity. It identifies five emotions — anger, sadness, fear, love & affection, and humor — to give a clearer picture of the emotional tone in any communication. The team built it to be understandable, adaptable, and as fair as possible.
VERN AI was developed by Craig Tucker, Bryan Novak, and Edward Christensen. Their company focuses on building tools that understand emotions, which they see as useful for chatbots, virtual assistants, and mental health support. VERN AI is designed to distinguish between specific emotions and provide real-time analysis.
Sign up on the VERN AI website to receive an API key. The key unlocks a dashboard where you can monitor results, choose which emotions to track, and manage account details. Integration happens via the API, which analyzes text live and returns results in JSON format; an active API key is required for requests. VERN AI is also available through various AI marketplaces, and it can be deployed on-premises — integrated into Machine Learning Operations (ML Ops) projects or run on your own servers — with different packages depending on where you access it.
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