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Best emotion detection AI tools

Discover powerful emotion detection AI tools, including Visage Technologies, boterview, Luxand.cloud, LiarLiar.ai, and VERN AI, and other related products.

Luxand.cloud
Freemium

Luxand.cloud

A powerful AI-powered cloud API for developers and businesses, providing advanced face recognition, liveness detection, and demographic analysis (age, gender, emotion). Easily integrate biometric features into any website, app, or software with a secure, scalable, and cost-effective solution.

Computer Vision
Visits 15.9KFavorites 175Likes 176
boterview
Freemium

boterview

boterview is an AI-powered interview preparation tool that helps job seekers build confidence and ace their interviews. It offers realistic mock interviews with a speech-to-speech AI coach, providing instant, dynamic feedback on answers, professional tone, and emotional delivery. Features include emotion detection, a vast database of real interview questions, and personalized performance analysis to help you match recruiters' expectations.

Interview Preparation
Visits 31.9KFavorites 138Likes 155
Visage Technologies
Paid

Visage Technologies

Visage Technologies provides advanced, high-performance computer vision solutions, specializing in face tracking, analysis, and recognition SDKs. With over 20 years of expertise, they offer custom AI development and edge AI optimization for industries like automotive, security, retail, and healthcare.

Sdk & Api
Visits 68.4KFavorites 179Likes 175
LiarLiar.ai
Paid

LiarLiar.ai

LiarLiar.ai is an AI-powered lie detector and heart rate monitor that analyzes video feeds in real-time. It uses advanced technologies like Remote Photoplethysmography (rPPG), body language analysis, and emotion detection to assess truthfulness during video calls on platforms like Zoom, Google Meet, and Skype. It provides instant insights to foster transparency and trust in communication.

Communication
Visits 11.4KFavorites 137Likes 155
VERN AI
Freemium

VERN AI

VERN AI provides a patented emotional intelligence layer for AI systems. It uses neuroscience-based technology to detect real-time human emotions like anger, sadness, and joy from text and voice, enabling more empathetic and human-like interactions with chatbots, avatars, and other AI applications.

Chatbot
Visits 9.4KFavorites 161Likes 162
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