Element to LLM ავტორი insitu.im
Your AI is Missing Half the Picture. One click = JSON snapshot of any element — ready for AI or your team.
5 მომხმარებელი5 მომხმარებელი
Firefox გესაჭიროებათ ამ გაფართოებისთვის
გაფართოების მონაცემები
ეკრანის სურათები
გაფართოების შესახებ
Element to LLM
Stop explaining what's wrong when you could just show it!
Every time you describe a UI issue to AI, you're playing a guessing game. Static screenshots miss the real problem. Copy-pasting HTML shows nothing about what users actually experience. Now AI sees what you see. Element to LLM captures the complete runtime state of any webpage element. Hidden styles, positioning conflicts, responsive behavior, accessibility issues - everything that affects real user experience.
Now AI sees what you see. Privately.
Element to LLM captures the complete runtime state of any webpage element - all processed locally in your browser. No external servers. No data transmission. You control what gets shared and when.
One click reveals:
Why that button won't respond
What's breaking your responsive layout
Which elements are invisible to screen readers
How styles actually cascade in production
For your daily work:
✅ Debug - Runtime context instead of guesswork
✅ QA - Document actual behavior, not assumptions
✅ Design - See how implementations differ from specs
The difference is immediate:
Before: "The modal seems broken" (vague)
After: AI gets structured data showing z-index conflicts, hidden elements, computed styles (actionable)
Transform how you communicate about UI issues. Install now - works in Chrome, Arc, and Firefox.
Like it? Rate us ⭐ and stay tuned — Pro version with team features is on the way.
Stop explaining what's wrong when you could just show it!
Every time you describe a UI issue to AI, you're playing a guessing game. Static screenshots miss the real problem. Copy-pasting HTML shows nothing about what users actually experience. Now AI sees what you see. Element to LLM captures the complete runtime state of any webpage element. Hidden styles, positioning conflicts, responsive behavior, accessibility issues - everything that affects real user experience.
Now AI sees what you see. Privately.
Element to LLM captures the complete runtime state of any webpage element - all processed locally in your browser. No external servers. No data transmission. You control what gets shared and when.
One click reveals:
Why that button won't respond
What's breaking your responsive layout
Which elements are invisible to screen readers
How styles actually cascade in production
For your daily work:
✅ Debug - Runtime context instead of guesswork
✅ QA - Document actual behavior, not assumptions
✅ Design - See how implementations differ from specs
The difference is immediate:
Before: "The modal seems broken" (vague)
After: AI gets structured data showing z-index conflicts, hidden elements, computed styles (actionable)
Transform how you communicate about UI issues. Install now - works in Chrome, Arc, and Firefox.
Like it? Rate us ⭐ and stay tuned — Pro version with team features is on the way.
Captures runtime DOM → JSON snapshots for debugging, QA, and UI/UX design.
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ნებართვები და მონაცემებივრცლად
მოთხოვნილი ნებართვები:
- აღებულ ასლის საცავში მონაცემის ჩამატება
დამატებითი მონაცემები
- დამატების ბმულები
- ვერსია
- 1.2.4
- ზომა
- 58,44 კბ
- ბოლო განახლება
- 6 დღის წინ (6 სექ 2025)
- მსგავსი კატეგორიები
- ლიცენზია
- MIT-ლიცენზია
- ვერსიის ისტორია
- კრებულში დამატება
1.2.4 გამოშვების მონაცემები
Performance Improvements
Metadata Enhancements
Store Compliance
Technical Details
- Improved border shorthand conversion eliminates redundant properties
- Enhanced outline shorthand handling removes default values
- Optimized background shorthand with comprehensive property consolidation
- Reduced boundingBox from 8 to 4 essential properties (x, y, width, height)
Metadata Enhancements
- Added userAgent to capture browser/OS information
- Added extension version dynamically from manifest
Store Compliance
- Added short_name field for better display in limited spaces
- Standardized manifest fields across Firefox and Chrome
- Ensured all field lengths comply with store requirements
Technical Details
- Estimated 20-30% additional JSON size reduction from property optimizations
- Border properties now use individual side shorthands when needed
- Background properties intelligently exclude default values
- All metadata changes result in smaller overall payload
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