Context-aware “Copy as Markdown” button that works on every website. 50+ purpose-built extractors capture supported sites; 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 and frameworks get tuned extractors that capture the signal and strip the noise. Content detection recognizes custom-domain Notion, Sphinx, and Read the Docs pages before generic article/main fallback.
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
Content-detected documentation with navigation stripped and code languages preserved
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
Authenticated REST fields, ADF descriptions/comments, links, and rendered DOM fallback
Authenticated REST page body, labels, tables, code, visible comments, and DOM fallback
Filters, groups, widget values, top lists, visible chart annotations
Metadata, narrative, ordered visualization cells, visible chart snapshots
Authored Markdown source when available, cleaned rendered DOM otherwise
Run configuration, metric summaries, sparklines, and sampled history tables
Self-hosted run metadata and chart comparisons for visible runs and loaded metrics
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
Conversations with ordered user/assistant turns, citations, code, and images
Lessons, glossary pages, practice content, code, links, and learning context
Query, ranked results, snippets, and related searches
Query, ranked results, snippets, and destination links
Query, answer cards, ranked results, and related searches
Query, ranked results, abstracts, and destination links
Query, answer cards, ranked results, discussions, and related searches
Title metadata, synopsis, cast, genres, ratings, seasons, and episodes when visible
Pins with creator, description, destination, media, engagement, and comments
Product title, price, availability, ratings, variants, specifications, and description
Current conditions, alerts, hourly outlook, and daily forecast
Channels, live streams, videos, and clips with game, viewers, tags, and description
Posts with author, timestamp, text, media, engagement, and visible comments
Articles and videos with headline, author, date, structured metadata, and clean body
Shows, episodes, movies, and videos with synopsis and structured details
Hotels and search results with prices, scores, facilities, policies, and availability
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 the Chrome Web Store, Firefox Add-ons, or use the latest userscript release.
Release notes and downloads →