ilovemd.online · Developer Tools
5 items
Convert active webpages and documents into clean Markdown for AI prompts and RAG vector search 100% in-browser. ILoveMD is a privacy-first browser extension designed for AI developers, researchers, and prompt engineers. It transforms active webpages and readable documents into clean, structured GitHub Flavored Markdown (GFM). Why Use Markdown for AI & RAG? Raw web markup and document streams often contain extraneous layout elements, script tags, and formatting overhead that clutter AI context windows. Converting your content to structured Markdown reduces token consumption while preserving document hierarchy, headers, lists, and data tables. Key Features: - Webpage Conversion: Instantly extract body text, headings, and tables from active browser tabs while removing sidebars, advertisements, and navigation elements. - Local File Conversion: Easily convert your local documents into structured Markdown files directly within your browser workspace. - Client-Side Privacy: All parsing and processing logic executes locally on your machine. No documents or browsing data are ever uploaded to external servers. - Spatial Table Extraction: Reconstruct document tables into clean GFM Markdown grid structures for improved retrieval accuracy. - Live Token Estimates: Inspect estimated token counts for popular language models right inside the built-in editor. Streamline your system prompts and enhance document retrieval workflows with clean Markdown.
Aug 24, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.