WebGazer.js is a JavaScript library that enables eye tracking on a web page using a webcam. It allows for gaze estimation on...
Best GazeCloudAPI Alternatives ranked by AI · updated Aug 2026
GazeCloudAPI provides webcam-based eye tracking through a browser JavaScript API. It targets developers who want to add gaze estimation to websites, usability tests, or interactive applications without shipping hardware.
Top 6 GazeCloudAPI alternatives
RealEye is a software tool that helps in analyzing and optimizing user experience by tracking eye movements on websites or applications.
Starting from $49/month
EyeJS is a JavaScript library for adding webcam-based eye tracking to browser applications. It is intended for developers building gaze-aware interfaces, experiments,...
Pros
- Runs directly in the browser without dedicated eye-tracking hardware
- Designed for JavaScript integration rather than a separate desktop application
- Suitable for prototypes, experiments, and gaze-triggered interactions
Cons
- Less established and documented than WebGazer.js
- Webcam accuracy is lower than dedicated eye trackers
- Requires user camera permission and calibration
A library for machine learning in JavaScript, with the capability of training and deploying models in the browser or on Node.js.
GazeRecorder is a webcam-based eye-tracking platform for recording and analyzing visual attention during web sessions. It is intended for usability researchers, marketers,...
Pros
- Provides recording and visualization tools out of the box
- Better fit for usability and attention studies than application development
- Works with ordinary webcams
Cons
- Not as flexible as a client-side library for custom interfaces
- Accuracy is below dedicated eye-tracking hardware
- Hosted workflows may raise privacy and data-retention concerns
Freemium, paid plans available
6
Google
MediaPipe
MediaPipe is an open-source framework for building cross-platform perception pipelines, including hand, face, pose, and object detection applications. It provides reusable tasks...
Pros
- Higher-level ready-made solutions for face, hand, and pose tracking than FastCV
- Supports Android, iOS, web, desktop, and Python development
- Good choice for rapid prototyping of real-time perception features
Cons
- Less suited to low-level image-processing primitives than FastCV
- Prebuilt solutions can be harder to customize deeply
- Model quality and performance vary by task and target device
Free, open source
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