calmstate/VisualTagger

Visual Tagger is a JavaScript tool that visually highlights HTML elements for AIs, aiding in identifying interactive components on web pages.

13
/ 100
Experimental

This tool helps AI systems understand and interact with web pages by visually highlighting important HTML elements. It takes a web page as input and outputs a visually augmented page with colored borders and labels on interactive components, making it easier for AI to identify them. Web automation engineers, AI developers, or anyone building AI agents that navigate and perform actions on websites would use this.

No commits in the last 6 months.

Use this if you are developing an AI agent or web scraper that needs visual cues to identify and interact with specific elements on a web page.

Not ideal if you need to build robust, production-ready web automation or data extraction tools that require high accuracy and resilience to page changes without visual assistance.

AI web automation web scraping bot development UI interaction page element identification
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Stars

11

Forks

Language

JavaScript

License

Last pushed

Oct 28, 2024

Commits (30d)

0

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