Context-aware “Copy as Markdown” button that works on every website. 44 sites get purpose-built extractors — the rest use smart fallback detection. One click to share with ChatGPT, Claude, or Gemini.
--- source: Wikipedia title: Vigenère cipher url: https://en.wikipedia.org/wiki/Vigenère_cipher last_modified: 15 March 2025 --- # Vigenère cipher The **Vigenère cipher** is a method of encrypting alphabetic text where each letter of the plaintext is encoded with a different Caesar cipher... ## Description | Component | Details | | --- | --- | | Type | Polyalphabetic substitution | | Key | A repeating keyword | | Inventor | Blaise de Vigenère |
You want to give your AI the full context of a web page. Every option is bad — until now.
Loses all structure. Headers become blobs. Tables vanish. Links disappear.
The LLM can't browse it — or worse, hallucinates what it says.
Eats your token budget on image processing. Can't search or quote.
Life's too short. You have better things to do.
These sites get tuned extractors that capture the signal and strip the noise. Every other website uses smart fallback detection via article/main element discovery.
Article body, tables, infoboxes — edit buttons and references stripped
Full document export — headings, lists, tables, links, images
Active sheet or selected range as a clean, bounded table
Choose current slide or full deck, with ordered titles, text, links, and speaker notes when available
Full authenticated threads — participants, message bodies, links, and attachments
Pages and databases with properties, rich blocks, code, and tables
Structured Word, Excel, and PowerPoint web content
Loaded channels and threads with authors, timestamps, reactions, and attachments
Loaded messages and threads with authors, replies, reactions, and attachments
Issue metadata, fields, descriptions, links, and visible comments
Page content, tables, code blocks, metadata, and visible comments
Filters, groups, widget values, top lists, visible chart annotations
Metadata, narrative, ordered visualization cells, visible chart snapshots
Query, featured snippets, knowledge panel, ranked results
Issues, PRs, repos, README files, code — with metadata
Repositories, source files, issues, merge requests, comments, and diffs
Repositories, source files, pull requests, issues, comments, and diffs
Conversations with role labels, citations, and source links
Conversations with role labels, citations, code, and images
Title, channel, views, description, chapters, comments, transcript
Post, subreddit, author, score, threaded comments with depth
Posts with replies, timelines with engagement stats
CNN, BBC, NYT, Reuters — article body, author, date, paywall detection
Question, all answers (✅ accepted), vote counts, comments
Title, link, score, nested comment threads
Profiles, posts, articles — with reactions and comments
Posts and reels with captions, engagement, media, and visible comments
Posts and reels with captions, media descriptions, engagement, and comments
Videos with creator metadata, captions or transcripts, engagement, and comments
Product title, price, rating, features, reviews (8 TLDs)
Paper title, authors, abstract, full body from HTML pages
Market odds, resolution rules, volume, comments
Results, knowledge sidebar, related searches
Chat messages with sender, timestamp, media indicators
Articles with author, publication, claps, reading time, full body
Newsletter posts with author, likes, paywall detection
Developer articles with tags, reactions, comments
Developer docs with code examples, browser compat tables
Shared conversations with user/assistant role labels
Conversations with user/assistant role labels
Conversations with user/model role labels
Full article content with title and URL
Package info, version, downloads, README, dependencies
Python packages with version, description, full README
Fallback extractor: highlights or full page content via article/main detection
Markdown is the lingua franca of AI conversations. Every major LLM understands it natively.
A typical Wikipedia article: ~200K characters in HTML. Copy as Markdown output: ~15K characters. More room for your actual conversation.
Headers → #, Tables → pipes, Code → fenced blocks, Links → [text](url). Hierarchy and semantics stay intact.
Single self-contained JS file. No build tools, no frameworks, no runtime dependencies. Install and go.
Install from Firefox Add-ons or use the latest userscript release. Chrome publishing is in progress.
Release notes and downloads →