Best eye-tracking AI tools

Beam Eye Tracker is an AI-powered software that transforms your webcam or smartphone into a high-performance eye and head tracker. Designed for gamers, streamers, and content creators, it provides immersive 6DoF tracking in over 200 games without requiring expensive, dedicated hardware. Enhance your gameplay, analyze your focus, and engage your audience with a customizable eye-tracking overlay.

Ultra-Attention is an AI-powered desktop application designed for freelancers and remote workers to combat distractions. It uses webcam-based eye tracking and machine learning to detect loss of focus, providing real-time alerts, app blocking, and focus-training exercises to help users achieve deep work states and boost productivity.

RealEye is an AI-powered online research platform that uses standard webcams for eye-tracking and facial coding. It enables researchers, marketers, and designers to conduct user studies remotely, generating heatmaps, gaze plots, and emotional analysis to understand user attention and behavior on websites, images, and videos without needing expensive hardware.

TAWNY is a privacy-first Vision AI platform specializing in human analytics. It uses patented AI algorithms to analyze video feeds from any camera, providing deep insights into crowd behavior, emotions, and attention. The technology is tailored for industries like market research, retail, transportation, and automotive, offering GDPR-compliant solutions to understand and decode complex human behavior in real-time.

Eyeware provides AI-powered head and eye tracking software that transforms standard webcams into powerful tracking devices. It offers solutions for immersive gaming, enhanced live streaming, productivity, user research, and OEM integration, eliminating the need for specialized hardware.

Attention Insight is an AI-driven pre-launch analytics platform that provides predictive heatmaps and clarity scores for designs. It helps marketers and designers optimize websites, ads, and other visual assets by simulating user attention, enabling data-driven decisions to improve performance and conversion rates before going live.

EyeGestures is an open-source gaze tracking library that makes eye control accessible to everyone. It uses a standard webcam on a laptop or smartphone, eliminating the need for specialized hardware. Built with Python and JavaScript, it allows developers to easily integrate hands-free control into web, desktop, and server-side applications.