Best GazeCloud API Alternatives ranked by AI · updated Aug 2026

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GazeCloud API is a browser-based eye-tracking service that estimates gaze from a webcam and exposes results to web applications. It is intended for developers adding gaze interaction, attention measurement, or remote eye-tracking studies to websites.

Developer: GazeRecorder Price: Custom pricing 🎯 gazerecorder.com

Top 6 GazeCloud API alternatives

3 SeeSo.io logo

SeeSo.io

VisualCamp

SeeSo is an eye-tracking SDK for adding camera-based gaze estimation to mobile, web, and other software experiences. It is aimed at developers...

Pros

  • Supports camera-based gaze tracking without dedicated eye-tracking hardware
  • Designed for integration into mobile and web applications
  • Useful for accessibility, interaction, and attention-tracking features

Cons

  • Commercial pricing is less transparent than open-source alternatives
  • Camera-based accuracy is generally lower than dedicated eye trackers
  • Requires device and lighting testing for reliable results

Eye-tracking glasses for research and development purposes.

Pros

  • High precision eye-tracking
  • Suitable for research applications

Cons

  • High price point
  • Not consumer-focused
5

Tobii Pro SDK provides APIs for collecting and analyzing gaze data from Tobii eye trackers. It is primarily for researchers, usability professionals,...

Pros

  • Higher accuracy than webcam-based tracking when paired with supported hardware
  • Strong fit for controlled research and usability studies
  • Established hardware and software ecosystem

Cons

  • Requires compatible Tobii eye-tracking hardware
  • Higher total cost than camera-only SDKs
  • Less suitable for mass-market consumer deployment
6

PyGaze

PyGaze contributors

PyGaze is an open-source Python toolkit for designing eye-tracking experiments and interfacing with supported eye trackers. It is intended for academic researchers...

Pros

  • Free and open source for academic and experimental development
  • Provides reusable components for gaze-contingent experiments
  • Works with multiple supported eye-tracking systems

Cons

  • Requires separate compatible eye-tracking hardware for most accurate use
  • Less suitable for shipping gaze features inside consumer apps
  • Documentation and integrations are more research-oriented

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