Feng-GUI vs OGAMA

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.

OGAMA is Windows freeware for recording and analyzing eye-tracking and mouse-tracking data in slideshow experiments. It supports direct recording with Tobii, alea and SMI systems, along with the open-source ITU Gazetracker solution. Gazetracker can use infrared-ready webcams or a modified PlayStationEye camera. OGAMA can also import ASCII recordings from eye-tracking and presentation software or hardware. Its analysis tools include database-driven preprocessing and filtering, attention maps, areas of interest, saliency calculations, Levenshtein distances, and replay with AVI recording. Output can be used directly with statistical software packages. OGAMA is an open-source project written in C#.NET, and users can adapt its code. The maintainer announced in May 2016 that they had stopped supporting the project because they no longer had time for support and feature requests.