WebGazer.js review
A privacy-focused browser library for real-time webcam gaze prediction.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
WebGazer.js is an open-source JavaScript library for estimating gaze position through a standard webcam. It is aimed at developers building browser-based eye tracking into websites, rather than teams looking for a hosted research workspace. The library provides real-time gaze coordinates and calibration points across Google Chrome, Microsoft Edge, Mozilla Firefox, Opera, and Safari. Its free model and browser delivery make it a practical starting point for privacy-focused gaze interactions on the web.
Privacy and integration are its clearest strengths. Processing runs client-side without sending video to a server, while browser-based training-data persistence supports continued use in the browser. Developers can access continuous or on-demand predictions through the JavaScript API, switch eye-detection tracker modules, and select from multiple gaze regression models. Self-calibration draws on clicks and cursor movements, reducing dependence on a separate calibration workflow. These capabilities suit interactive websites and prototypes that need foundational gaze estimation without special hardware.
The main trade-off is scope and project status. WebGazer.js supplies tracking and prediction primitives, including real-time gaze output, but it is not a complete study-analysis or hosted study-management platform. Teams that need a broader research workflow should choose a more specialized alternative. The February 24, 2026 release is described as the final planned release, with official maintenance ended and community support continuing through GitHub Issues. Choose WebGazer.js for free, open-source browser tracking with client-side processing; look elsewhere when ongoing official maintenance or a full eye-tracking research suite is central to the purchase.
WebGazer.js pros and cons
- Where it wins
- Client-side processing keeps webcam video in the browser.
- Self-calibration uses clicks and cursor movements.
- JavaScript API supports continuous and on-demand predictions.
- Where it doesn't
- Requires a webcam rather than dedicated eye-tracking hardware.
- Focused on browser tracking, not complete study management.
- Official maintenance ended after the February 24, 2026 release.
WebGazer.js fact sheet, pricing and score →
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