Feng-GUI vs GazePlotter

Feng-GUI is a visual insights platform that predicts eye-tracking patterns and analyzes attention with AI. It can process websites, advertisements, videos, print materials, shelf layouts, signage and packaging. Reports include heatmaps, gaze plots, focus maps, Areas of Interest and aesthetics analyses, while an AI Assistant turns insights and recommendations into concise summaries. Feng-GUI can detect faces and analyze eight expressions: Neutral, Happy, Surprise, Sad, Anger, Disgust, Fear and Contempt. Report data exports as raw images, JSON or CSV. The service is available through a web browser and an open Platform API, with Model Context Protocol support for AI agents. The company states that MIT benchmarking found results 92% similar to real eye-tracking. It also states compliance with GDPR and PCI DSS and describes itself as a certified Microsoft supplier meeting SSPA and Supplier Data Protection Requirements. Uploaded files and reports are automatically deleted after three months for monthly subscribers and one year for annual subscribers. The documented maximum image size is 20 MB. Business costs $67 a month, billed annually; Basic costs $99 a month, billed monthly.

GazePlotter is a free tool for researchers and non-programmers to visualize eye-gaze data without writing code. Its analysis options include scarf plots, AOI comparisons and timelines, transition matrices, recurrence plots, scanpaths, scanpath similarity, metric timelines, and metric correlations. The metrics library covers dwell time, fixation duration and counts, latency, AOI transitions, recurrence, scanpath similarity, and eye-movement types. It imports formats from Tobii Pro Lab, SMI BeGaze, Gazepoint, Pupil Cloud, Varjo, OGAMA, and custom CSV files, detecting file types automatically. Workspaces can be exported as JSON, figures as PNG or JPG, and segmented data, events, and metrics as CSV; ScanGraph export is also available. Metric CSVs can be exported in long or wide form for use in R, Python, SPSS, JASP, or jamovi. The maker says data is processed locally in the browser, and documentation describes an offline-capable Progressive Web App. It is listed for web browsers, Windows, macOS, Linux, Android, and iOS, and is open source under GNU GPL v3.