LLMFeeder - Web to Markdown for AI par jatinkrmalik.com
Convert web pages to clean Markdown for ChatGPT, Claude and AI. Multi-tab support, right-click menus, token counter. 100% offline.
413 utilisateurs·trices413 utilisateurs·trices
Métadonnées de l’extension
Captures d’écran
À propos de cette extension
LLMFeeder: Web to Markdown for AI Converter is 100% privacy-focused with no tracking, analytics, or data collection. This extension converts web page content to clean, well-formatted Markdown and copy the markup to clipboard with a single click/keyboard shortcut.
🆕 NEW IN v2.1.0:
✨ Multi-Tab Support - Convert multiple tabs at once! Select tabs with Ctrl/Cmd+Shift+Click
✨ Right-Click Context Menus - Quick conversion from anywhere on the page (including Firefox tab menu!)
✨ Token Counter - Real-time token estimation (GPT-4/Claude tokenizer) with context limits
✨ Include Links Toggle - Strip URLs to reduce token usage when not needed
✨ Debug Mode - Built-in diagnostics for troubleshooting
✅ Smart Content Extraction: Automatically identifies and extracts the main content from any webpage
✅ Enhanced Image Processing: Smart alt text generation with intelligent fallbacks for better image descriptions
✅ One-Click Conversion: Convert and copy to clipboard with a single action
✅ Download as File: Save converted Markdown directly as .md files to your device
✅ Download as ZIP: Convert multiple tabs and download as a ZIP archive
✅ Dark/Light Mode: Theme toggle with automatic preference persistence
✅ Page Title Integration: Option to include webpage titles in your Markdown output
✅ Keyboard Shortcuts: Alt+Shift+M (copy), Alt+Shift+D (download), Alt+Shift+Z (ZIP)
✅ Content Options: Extract full page, main content only, or just selected text
✅ Cross-Browser Notifications: Clear feedback when content is copied successfully
✅ Client-Side Processing: All operations happen locally - no data ever leaves your browser
Save time and improve your LLM interactions by quickly providing clean, formatted context from any webpage without the clutter.
💡 Perfect for feeding context to ChatGPT, Claude, or any LLM that accepts Markdown input.
🆕 NEW IN v2.1.0:
✨ Multi-Tab Support - Convert multiple tabs at once! Select tabs with Ctrl/Cmd+Shift+Click
✨ Right-Click Context Menus - Quick conversion from anywhere on the page (including Firefox tab menu!)
✨ Token Counter - Real-time token estimation (GPT-4/Claude tokenizer) with context limits
✨ Include Links Toggle - Strip URLs to reduce token usage when not needed
✨ Debug Mode - Built-in diagnostics for troubleshooting
✅ Smart Content Extraction: Automatically identifies and extracts the main content from any webpage
✅ Enhanced Image Processing: Smart alt text generation with intelligent fallbacks for better image descriptions
✅ One-Click Conversion: Convert and copy to clipboard with a single action
✅ Download as File: Save converted Markdown directly as .md files to your device
✅ Download as ZIP: Convert multiple tabs and download as a ZIP archive
✅ Dark/Light Mode: Theme toggle with automatic preference persistence
✅ Page Title Integration: Option to include webpage titles in your Markdown output
✅ Keyboard Shortcuts: Alt+Shift+M (copy), Alt+Shift+D (download), Alt+Shift+Z (ZIP)
✅ Content Options: Extract full page, main content only, or just selected text
✅ Cross-Browser Notifications: Clear feedback when content is copied successfully
✅ Client-Side Processing: All operations happen locally - no data ever leaves your browser
Save time and improve your LLM interactions by quickly providing clean, formatted context from any webpage without the clutter.
🙏 Add/contribute feature requests here: https://github.com/jatinkrmalik/LLMFeeder/issues
Noté 5 par 8 personnes
Autorisations et données
Autorisations nécessaires :
- Ajouter des données dans le presse-papiers
- Accéder aux onglets du navigateur
- Accéder à vos données pour tous les sites web
Autorisations facultatives :
- Accéder à vos données pour tiktoken.pages.dev
Plus d’informations
- Version
- 2.1.0
- Taille
- 353,76 Ko
- Dernière mise à jour
- il y a 4 mois (16 févr. 2026)
- Catégories associées
- Licence
- Licence MIT
- Politique de confidentialité
- Lire la politique de confidentialité de ce module
- Historique des versions
- Ajouter à la collection