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AI · May 15, 2024

Tarsier – Vision utilities for web interaction agents

Hey HN! I built a tool that gives LLMs the ability to understand the visual structure of a webpage even if they don't accept image input. We've found that unimodal GPT-4 + Tarsier's textual webpage representation consistently beats multimodal GPT-4V/4o + webpage screenshot by 10-20%, probably because multimodal LLMs still aren't as performant as they're hyped to be. Over the course of experimenting with pruned HTML, accessibility trees, and other perception systems for web agents, we've iterated on Tarsier's components to maximize downstream agent/codegen performance. Here's the…

Tarsier – Vision utilities for web interaction agents launched on May 15, 2024 with 192 votes, #271 of 4,539 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.

Visit github.com ↗Alternativestop 6% of May 2024

In plain words

Tarsier is a tool that enables language models to understand webpage visual structure through text-based representations rather than images. It converts screenshots into whitespace-structured text using OCR and tags interactive elements with IDs for agents to reference. The tool is designed for developers building web interaction agents and AI codegen systems. According to its creator, text-only models using Tarsier's output outperform multimodal models using screenshots on web automation tasks.

written from the facts on this page · September 2026

From the sources

Vision utilities for web interaction agents 👀. Contribute to reworkd/tarsier development by creating an account on GitHub.

In the maker’s words, at launch

Hey HN! I built a tool that gives LLMs the ability to understand the visual structure of a webpage even if they don't accept image input. We've found that unimodal GPT-4 + Tarsier's textual webpage representation consistently beats multimodal GPT-4V/4o + webpage screenshot by 10-20%, probably because multimodal…

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