2 items
Convert Markdown files, raw text, or web pages into beautifully styled PDFs with Mermaid diagrams, LaTeX math, TOC, and themes. Convert Markdown files, raw text, and web documentation into high-quality, beautifully formatted PDF documents directly inside your browser! Markdown to PDF Converter is a lightweight, privacy-focused extension that transforms your Markdown code, technical documentation, SRS reports, and notes into publication-ready PDFs with 1-click. 🌟 KEY FEATURES: • 📊 Native Mermaid.js Diagrams: Full support for sequence diagrams, flowcharts, class diagrams, gantt charts, and state diagrams. • 📐 LaTeX Math Equations: Beautiful inline and display math formula rendering powered by KaTeX ($E = mc^2$). • 🎨 4 Preset Themes: Choose between Modern (Navy Report), Dark Mode, Academic (Serif Paper), and Minimal. • 📁 Multiple Input Methods: Drag & drop .md files, paste raw text, or convert the active tab content automatically. • 🖱️ Right-Click Context Menu: Highlight any Markdown text on any website and right-click to convert to PDF immediately. • 🌐 GitHub Raw MD Integration: Displays an automatic floating "Convert to PDF" button on GitHub raw file pages. • 🔒 100% Private & Offline: Runs entirely inside your browser. No registration, no cloud servers, and no data tracking. 🚀 HOW TO USE: 1. Click the extension icon in your toolbar. 2. Drag & drop a .md file or paste your Markdown content. 3. Select your desired theme (Modern, Dark, Academic, Minimal) and paper size (A4, Letter, A3). 4. Click "Preview & Export PDF" to view and print your vector PDF file! Perfect for developers, technical writers, students, engineers, and researchers!
Aug 12, 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.