Open-source gaze tracking with just a webcam
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, EyeGestures (eyegestures.com) is an AI platform indexed under Open Source AI Models generating 1.36K monthly visits with a month-over-month traffic delta of +115 (+9.2%). Its primary geographic market is United States (100% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include Roboflow (1.43M visits/mo), Visage Technologies (27.9K visits/mo), LandingAI (38.87K visits/mo).
wild that this works with just a standard webcam
huge win for accessibility projects
lighting conditions mess with calibration sometimes
setup took longer than expected
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Runs gaze tracking on ordinary laptop or smartphone cameras, avoiding specialised eye-tracker hardware.
Use the tracker in a backend server, a desktop app, or directly in the browser depending on your stack.
A lightweight version that runs fully client-side, so no server round-trip is needed for tracking.
Aimed at inclusive interfaces such as EyeFocus, supporting hands-free control and privacy-preserving use.
The code is open for inspection, contribution, and adaptation to new gaze-driven applications.
EyeGestures is built around openness: the tracker is released as a library you can use and modify freely, and no special hardware is required beyond a standard webcam. That makes it practical for hobbyists, accessibility developers, and academic researchers who want gaze interactions without buying dedicated eye-tracking hardware.
The project ships in two flavours — a Python library that can run in a backend server or desktop application, and a JavaScript build for the browser, including EyeGesturesLite, a lightweight version that runs entirely client-side without a server. Two example applications illustrate the idea: EyeFocus and EyePointer, aimed at privacy-focused hands-free interaction and research studies respectively.
Because it is a developer library rather than a hosted SaaS product, you integrate it by adding a few lines of code, and the maintainers offer custom apps and supporter tiers to fund continued work. Privacy is part of the pitch — processing can stay local, so camera data need not leave the user's machine.
Create gaze-controlled interactions for users who cannot rely on a mouse or keyboard, using a standard webcam.
Collect gaze data for experiments without procuring dedicated eye-tracking equipment.
Prototype attention-aware or gaze-triggered UX in a browser or Python app before committing to hardware.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | EyeGestures | 1.36K | +9.2% | 39% direct | Freemium | Current |
| 1 | Roboflow | 1.43M | +6.6% | 47% direct | Freemium, Contact for Pricing | vs Roboflow |
| 2 | Visage Technologies | 27.9K | -24.2% | 40% direct | Contact for Pricing | vs Visage Technologies |
| 3 | LandingAI | 38.87K | -12.3% | 37% direct | Freemium | vs LandingAI |
| 4 | Imagga | 15.48K | +9.9% | 40% direct | Freemium, Paid, Contact for Pricing | vs Imagga |
| 5 | Ultralytics | 793.42K | +8.7% | 30% direct | Freemium | vs Ultralytics |
| 6 | Captum | 4.46K | -42.7% | 35% direct | Free | vs Captum |
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