Vision Agent is an open-source AI framework that enables developers and QA engineers to automate graphical user interfaces through vision-based element detection and natural-language-driven scripting. It leverages computer vision models to locate buttons, forms, and interactive components on screen, then uses a large language model to translate user instructions into executable automation code. The agent adapts to UI changes, ensuring robust and low-maintenance test suites for web and desktop applications. It offers a Python SDK, CLI tools, and integration with CI pipelines for seamless end-to-end testing workflows.

OmniParser is a sophisticated AI-powered analysis tool designed to intelligently analyze, detect, and extract structured data from various visual content sources such as webpages, UI screenshots, and comic book pages. It offers capabilities in UI element detection, comic panel analysis, speech bubble detection, and character recognition. This powerful engine is ideal for digital comic processing, localization workflows, and UI automation, delivering high detection accuracy and efficiency improvements for users.