The RankmyAI Emotion Recognition Ranking presents the top 25 AI tools from our Overall ranking focusing on emotion recognition.
Emotion recognition tools aim to identify and interpret human emotions through various data inputs, such as facial expressions, voice tone, physiological signals, or text. These systems often incorporate machine learning models for facial expression detection, sentiment analysis, and multimodal recognition, using inputs like images, video, and audio. Common applications include human-computer interaction, mental health analysis, market research, and security systems. Related capabilities may include emotion detection models, facial recognition and emotion detection, real-time face emotion recognition, and mood detection using machine learning techniques.
The green up and red down arrows indicate how many positions a tool has increased or decreased compared to the previous month's ranking. A grey dash means the tool's position has remained unchanged.





































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Disclaimer
The RankmyAI Emotion Recognition Ranking is derived from our Overall ranking, which measures the popularity of AI tools based on three key metrics: website traffic, reviews, and investments. The Overall ranking is calculated as the weighted average of the individual rankings for each of these metrics (for more details, see our Methodology page).
Not all AI tools in this ranking are exclusively focused on emotion recognition, as AI tools and companies often provide multiple services beyond this specific application. This ranking does not assess or indicate the quality, effectiveness, or reliability of the listed AI tools. It is solely based on popularity metrics and should not be interpreted as an endorsement or evaluation of their performance.
You are free to use and distribute our ranking, provided that RankmyAI is properly cited as the source (see our Copyright page).