Unverified50% confidenceFactExact time
The role of OCR is to perform text detection and recognition on a screenshot of the current window, obtain the content and bounding box of each text block, and return the center of the text box to the model as clickable coordinates, serving as a text fallback layer rather than general visual recognition.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe OCR text layer works by overlaying real selectable text objects at character positions on the rasterized page image, and setting the rendering mode to invisible (Tr 3) or transparent/same as the background color, so that copy-paste, Ctrl+F search, and screen readers work normally.77% similarUnverifiedIn the execution order of a computer-use agent, the tree should come first (listing interactive elements with names, roles and positions), text second (performing OCR on the window to match visible text when the tree has no labels), and screenshots last (for canvases, unnamed icons, or page verification).69% similarUnverified标注模式背后依赖视觉语言模型（VLM）的跨模态对齐能力，将用户在截图上圈选的空间区域映射回对应的HTML/CSS代码片段68% similarUnverifiedThe OCR workflow includes steps such as starting from a clear image, extracting relevant information, converting to a suitable format (such as JSON, CSV, XML, YAML), validating the extraction results, and connecting to applications.67% similar
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