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๋กœ๊ทธ์ธ
Element to LLM ๋ฏธ๋ฆฌ๋ณด๊ธฐ

Element to LLM ์ œ์ž‘์ž: insitu.im

Give AI eyes. One click captures live UI state โ€” Claude, GPT, Gemini act on what they actually see.

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์‚ฌ์šฉ์ž 13๋ช…์‚ฌ์šฉ์ž 13๋ช…
Firefox๋ฅผ ๋‹ค์šด๋กœ๋“œํ•˜๊ณ  ํ™•์žฅ ๊ธฐ๋Šฅ์„ ๋ฐ›์œผ์„ธ์š”
ํŒŒ์ผ ๋‹ค์šด๋กœ๋“œ

ํ™•์žฅ ๋ฉ”ํƒ€ ๋ฐ์ดํ„ฐ

์Šคํฌ๋ฆฐ์ƒท
Stop describing your screen. Let AI see it. > One click captures the entire UI state, turning complex visual layouts into perfect semantic context for your AI assistant.AI that reads your screen โ€” not your mind.
Transform overwhelming inboxes or complex dashboards into actionable tasks. E2LLM gives your LLM "eyes" to see exactly what youโ€™re working on.Structured. Semantic. Actionable. Don't waste tokens on 2MB of raw HTML. E2LLM produces a lightweight, 2KB SiFR snapshot that AI agents can actually understand and navigate.The ultimate context layer for AI Agents. Better compression than raw HTML and 0 system prompt overhead. Built for high-performance debugging and agentic automation.hat happens in your browser, stays in your browser. E2LLM captures DOM structure locally. No cloud sync, no tracking, and no data leaves your device. Secure, auditable, and open-source.
์ •๋ณด
Element to LLM โ€” AI Agent Perception Layer

Your AI agent is blind.
It guesses from screenshots. Drowns in raw HTML.
Misses what users actually see.

Element to LLM fixes this.

One click. Your browser's live UI state โ€” structured,
semantic, token-efficient โ€” delivered to any LLM.
Claude, GPT, Gemini, Llama. Your choice.

Now your AI agent doesn't guess. It sees.

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿค– Built for AI Agents

The era of AI agents is here.
Agents that fill forms, navigate apps, debug interfaces,
automate workflows โ€” they all need one thing:
accurate perception of the UI.

Element to LLM is that perception layer.

Not screenshots (no element IDs, burns tokens).
Not raw HTML (2.3MB of noise).
Not accessibility trees (miss visual context).

SiFR v2 โ€” structured, semantic, actionable:
โ†’ Every element labeled and scored by importance
โ†’ Actions tagged: [clickable] [fillable] [hoverable]
โ†’ Spatial relationships mapped
โ†’ Smaller than raw HTML
โ†’ Zero system prompt overhead โ€” live DOM is the context

Your agent stops hallucinating UI elements.
It acts on what's actually there.

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

โšก What changes when AI sees your screen

Before E2LLM:
"There's a button somewhere on the left, I think it says Submit..."

After E2LLM:
AI receives: btn_003 "Submit" [clickable] salience:high
position:(540,320) โ€” stacked above input_007,
no occlusion, aria-label matches visible text.

The difference feels unfair. In a good way.

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿงฐ Use cases

โ†’ LLM Agents โ€” accurate UI state for autonomous action
โ†’ AI Debugging โ€” root cause in seconds, not hours
โ†’ QA Automation โ€” capture real runtime behavior
โ†’ RPA โ€” eliminate brittle selectors forever
โ†’ Design review โ€” spec vs implementation, instantly
โ†’ Accessibility โ€” what assistive tech actually perceives

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿ”’ 100% Local. 100% Private.

Nothing leaves your browser. Ever.
No cloud. No servers. No tracking.
DOM stays on your machine.

This is the rare AI tool that works
without touching your data.

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿš€ v2.8.0 โ€” Persistent Captures

Save captures to disk as JSON files.
Diff workflows. Audit trails. Repeatable pipelines.
Toggle Clipboard / File mode โ€” existing workflows unaffected.

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

Works with Claude ยท ChatGPT ยท Gemini ยท Grok ยท Llama
Chrome ยท Firefox ยท Arc ยท Brave ยท Edge

Install. One click. Your AI finally sees.
๊ฐœ๋ฐœ์ž ์˜๊ฒฌ
Captures runtime DOM โ†’ JSON snapshots for debugging, QA, and UI/UX design.
3๋ช…์ด 5์ ์œผ๋กœ ํ‰๊ฐ€ํ•จ
๋กœ๊ทธ์ธํ•˜์—ฌ ์ด ํ™•์žฅ ๊ธฐ๋Šฅ์˜ ํ‰์ ์„ ๋‚จ๊ฒจ์ฃผ์„ธ์š”
์•„์ง ํ‰์ ์ด ์—†์Šต๋‹ˆ๋‹ค

๋ณ„์  ์ €์žฅ๋จ

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๊ถŒํ•œ ๋ฐ ๋ฐ์ดํ„ฐ

ํ•„์ˆ˜ ๊ถŒํ•œ:

  • ํด๋ฆฝ๋ณด๋“œ์— ๋ฐ์ดํ„ฐ ๋„ฃ๊ธฐ
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์„ ํƒ์  ๊ถŒํ•œ:

  • stats.insitu.im์—์„œ ์‚ฌ์šฉ์ž์˜ ๋ฐ์ดํ„ฐ์— ์ ‘๊ทผ

๋ฐ์ดํ„ฐ ์ˆ˜์ง‘:

  • ๊ฐœ๋ฐœ์ž๊ฐ€ ์ด ํ™•์žฅ ๊ธฐ๋Šฅ์€ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘์ด ํ•„์š”ํ•˜์ง€ ์•Š๋‹ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.

๊ฐœ๋ฐœ์ž๊ฐ€ ๋ฐ์ธ ์„ ํƒ์  ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘:

  • ๊ธฐ์ˆ  ๋ฐ ์ƒํ˜ธ ์ž‘์šฉ ๋ฐ์ดํ„ฐ
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