Microsoft OmniParser V2

OmniParser is a powerful open – source tool developed by Microsoft specifically for screen parsing.

Its latest V2 version, released this year, has topped the Hugging Face charts for a long time, significantly elevating the capabilities of GUI Agents.

It is a screen parsing tool that converts screenshots into structured data, serving as a core component for building AI – powered computer – controlling Agents.

Many vision – based automation projects rely on such technology for accurate screen element localization.

Its workflow is as follows:

1. Detect: Pre – trained YOLO models accurately frame all interactive elements on the screen, including buttons, input fields, icons, and sidebars.Even tiny icons can be precisely captured by the V2 version.
2. Caption: Microsoft’s own Florence – 2 or BLIP – 2 models are used to add functional descriptions to each framed element, e.g., “This is a search icon” or “This is a settings button”.
3. Grounding: These coordinates and descriptions are fed to models like GPT – 4V or DeepSeek, enabling the large model to know that a button is located at coordinates (800, 600).

You can think of this open – source project as a pair of high – precision glasses connecting the large model “brain” to the computer screen.