# Tarsier Vision Utilities for Web Interaction Agents

> Tarsier is a Python library by Reworkd that provides vision utilities for AI web interaction agents. It visually tags interactable elements on web pages with bracketed IDs, enabling LLMs to take actions like CLICK [23], and includes an OCR algorithm that converts page screenshots into whitespace-structured text representations that even text-only LLMs can understand.

- Skill: `agentskillexchange/tarsier-vision-utilities-for-web-interaction-agents` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/tarsier-vision-utilities-for-web-interaction-agents`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/tarsier-vision-utilities-for-web-interaction-agents/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/tarsier-vision-utilities-for-web-interaction-agents

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# Tarsier Vision Utilities for Web Interaction Agents

Tarsier is a Python library by Reworkd that provides vision utilities for AI web interaction agents. It visually tags interactable elements on web pages with bracketed IDs, enabling LLMs to take actions like CLICK [23], and includes an OCR algorithm that converts page screenshots into whitespace-structured text representations that even text-only LLMs can understand.

## Installation

Use the upstream install or setup path that matches your environment:
- pip install tarsier
- npm run build

Requirements and caveats from upstream:
- <img alt="Python" src="https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54" />
- python
- This compiles the TypeScript into JavaScript, which can then be utilized in the Python package.

Basic usage or getting-started notes:
- If you've tried using an LLM to automate web interactions, you've probably run into questions like:
- shell
- Visit our [cookbook](https://github.com/reworkd/Tarsier/tree/main/cookbook) for agent examples using Tarsier:

- Source: https://github.com/reworkd/tarsier
- Extracted from upstream docs: https://raw.githubusercontent.com/reworkd/tarsier/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/tarsier-vision-utilities-web-interaction-agents/)