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1-click snapshots of an element’s runtime DOM into clean JSON (attributes, text, computed styles, visibility, hierarchy). Works in Chrome, Firefox & Arc. Local-only, zero telemetry. Ideal for LLM prompts, QA/UX reviews and debugging.
Element to LLMAI-ready JSON snapshots of your live DOM (actual page)
Alexey Sokoloffleft a comment
LLMs read stuff no human ever sees. Hidden inputs, alt text, even random comments in the DOM — and sometimes those carry instructions. That’s basically a prompt injection waiting to happen. E2LLM catches those injections even in dynamic views (runtime DOM snapshots), so security teams can see when and where a prompt injection happened, replicate the attack, stress-test LLM workflows, and build...
E2LLM — runtime DOM → JSON for LLMs
Alexey SokoloffJoin the discussion
Alexey Sokoloffstarted a discussion
E2LLM — runtime DOM → JSON for LLMs
LLMs keep guessing from code, while users see something else. E2LLM is a tiny add-on that snapshots the runtime DOM state and exports it as structured JSON. That means models finally see the real UI — hidden fields, dropdowns, validation, computed styles. 💡 Result: precise debugging, QA, and design reviews, instead of generic “form looks fine” answers. 👉 What’s the most painful UI case you wish...
Alexey Sokoloffleft a comment
Hey Product Hunt! I’m the co-maker of Element to LLM. The problem: static HTML and screenshots miss what actually breaks UIs. Models guess, and you lose time. What we built: a tiny browser extension that turns any element’s runtime DOM into a clean JSON snapshot (attributes, text, computed styles, visibility, hierarchy). Why it helps: prompts become reproducible, token-efficient, and grounded...
Element to LLMAI-ready JSON snapshots of your live DOM (actual page)
Alexey Sokoloffleft a comment
Nice! A little expensive for me, but it can be really useful. Bug caught - the delete account function did not work.
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