Scalable eye

Scalable eye tracking for

Scalable eye

tracking for

adtech.

automotive.

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Developer docs

Our advanced eye-tracking technology, powered by deep learning, is now available as an API for companies of all sizes.

Webcam eye tracking, leveled up.

The concept of webcam eye tracking has existed for some time. However, Vytal’s API offers advantages that no other solution can offer.

Robust

Our eye-tracking tech works with glasses and contacts, across all ages and ethnicities. It’s been benchmarked against $15,000 hardware trackers and attains consistent ~1-2° accuracy, even at screen edges.

Scalable

Bring your eye-tracking powered software to the hands of millions, with no issues.

Accessible

Our API is regularly updated with new helper functions, enabling beginners to run functional experiments.

More Than Just Gaze Tracking

The API returns a wealth of information, including eye angles, point of gaze, head pose, eye locations in 3d, eye frames, estimated pupil size, and blinks.

Around-the-Clock Help

Our dedicated support team is available 24/7 to assist you with any questions or issues, ensuring you have continuous access to expert guidance and problem-solving resources.

Build with Vytal

Use the Vytal API to easily integrate hardware-free gaze tracking into your tech stack via our Python and JavaScript libraries.

Read Whitepaper

Develop

Start your journey into building with eye tracking technology

Access to core eye tracking algorithms
Pay-as-you-go pricing with usage tiers
Automatic rate limit increases
Self-service deployment tools
Ideal for researchers and startups

Get Started

Scale

Unlock the full potential of eye tracking for your business. The Scale plan provides:

Customizable eye tracking solutions
Custom rate limits
Real-time multi-user tracking
Dedicated account manager and 24/7 support
Tailored for large-scale research and applications

Use Cases

Adtech

Eye tracking in advertising technology helps measure viewer engagement with ads by analyzing gaze patterns and fixation points. It enables advertisers to optimize ad placement, design, and content based on where users actually look, improving ad effectiveness and ROI.

Robotics

In human-robot interaction, eye tracking helps robots understand human attention and intentions.

Gaming

Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.

Psychology and Neuroscience

Researchers use eye tracking to study cognitive processes, attention, and decision-making in various experimental settings.

Human-Computer Interaction

Eye tracking in HCI allows for hands-free control of devices and interfaces, enabling users with limited mobility to navigate and interact with computers using only their eyes. It also provides valuable insights for user experience researchers, helping them understand how users visually process and interact with digital interfaces to inform better design decisions.

Education

In educational technology, eye tracking can assess students' reading patterns and comprehension, identifying areas where they struggle or lose focus. It can also be used to create adaptive learning systems that adjust content presentation based on a student's visual attention, potentially improving learning outcomes and engagement.

Sports

Athletes use eye tracking to analyze their visual focus and decision-making processes, helping improve reaction times and strategic awareness in various sports.

Adtech

Eye tracking in advertising technology helps measure viewer engagement with ads by analyzing gaze patterns and fixation points. It enables advertisers to optimize ad placement, design, and content based on where users actually look, improving ad effectiveness and ROI.

Robotics

In human-robot interaction, eye tracking helps robots understand human attention and intentions.

Gaming

Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.

Psychology and Neuroscience

Researchers use eye tracking to study cognitive processes, attention, and decision-making in various experimental settings.

Human-Computer Interaction

Eye tracking in HCI allows for hands-free control of devices and interfaces, enabling users with limited mobility to navigate and interact with computers using only their eyes. It also provides valuable insights for user experience researchers, helping them understand how users visually process and interact with digital interfaces to inform better design decisions.

Education

In educational technology, eye tracking can assess students' reading patterns and comprehension, identifying areas where they struggle or lose focus. It can also be used to create adaptive learning systems that adjust content presentation based on a student's visual attention, potentially improving learning outcomes and engagement.

Sports

Athletes use eye tracking to analyze their visual focus and decision-making processes, helping improve reaction times and strategic awareness in various sports.

Adtech

Eye tracking in advertising technology helps measure viewer engagement with ads by analyzing gaze patterns and fixation points. It enables advertisers to optimize ad placement, design, and content based on where users actually look, improving ad effectiveness and ROI.

Robotics

In human-robot interaction, eye tracking helps robots understand human attention and intentions.

Gaming

Eye tracking can enhance gaming experiences by allowing eye-controlled navigation or adapting game difficulty based on player attention.

Psychology and Neuroscience

Researchers use eye tracking to study cognitive processes, attention, and decision-making in various experimental settings.

Human-Computer Interaction

Eye tracking in HCI allows for hands-free control of devices and interfaces, enabling users with limited mobility to navigate and interact with computers using only their eyes. It also provides valuable insights for user experience researchers, helping them understand how users visually process and interact with digital interfaces to inform better design decisions.

Education

In educational technology, eye tracking can assess students' reading patterns and comprehension, identifying areas where they struggle or lose focus. It can also be used to create adaptive learning systems that adjust content presentation based on a student's visual attention, potentially improving learning outcomes and engagement.

Sports

Athletes use eye tracking to analyze their visual focus and decision-making processes, helping improve reaction times and strategic awareness in various sports.

Current Users

Camera calibration made simple with AutoCalib

AutoCalib passively calibrates webcam eye tracking during normal laptop use, eliminating the need for manual calibration.

The algorithm enables low-barrier webcam-based eye tracking without requiring specialized hardware or active user participation. By automatically calibrating camera parameters and estimating gaze direction using passive inputs, AutoCalib makes the eye-tracking experience truly seamless. AutoCalib will be integrated as an API option within the coming months.

Are you interested in licensing the AutoCalib algorithm? Contact us with your request.

Send a Request

The Future Of Eye Tracking and Brain Health

Company

Services

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The Future Of Eye Tracking and Brain Health

Company

Services

Legal

The Future Of Eye Tracking and Brain Health

Company

Services

Legal