Feng-GUI vs Pupil Player

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.

Pupil Player is free, open-source software for viewing, analyzing, and exporting Pupil Capture recordings. It runs on Windows, macOS, and Linux and uses hardware recordings as input. Playback includes frame stepping, timeline trimming, and five speeds from 0.25x through 4x. A plugin framework adds gaze displays, marker and surface tracking, and data export. Analysis plugins cover post-hoc fixation and blink detection, pupil detection, gaze calibration, mapping, validation, and head-pose tracking. Visualizations can show circles, crosses, polylines, light points, heatmaps, or fixation overlays. Raw Data Exporter writes pupil and gaze data as CSV, while World Video Exporter saves visualized video. An iMotions exporter creates undistorted world video and gaze.tlv data. Exports go into an exports subfolder without removing or overwriting raw captures. Available plugins depend on the recording source, and eye-video overlays require eye video enabled during capture. Runtime-loaded Python plugins can extend the software.