Control vs Xmd

Your AI conversations with complete privacy. Control is a free LLM interface that puts you in charge of your AI experience. Chat with lightweight open source language models while keeping your data completely private. These mobile-optimized models offer basic AI assistance with the trade-off of complete privacy and offline functionality - everything runs locally on your device. This is a basic tool. Privacy & Data Protection: All processing happens on your device with no data collection or sharing. Your conversations never leave your phone and no accounts, logins, or cloud storage are required. Works completely offline with zero network dependencies for chat, no tracking or analytics. Your data stays yours and history resets after every session or 24 hours, whichever comes first, ensuring no persistent data storage. Choice: Choose from various open source language models and switch between models instantly to find the perfect AI assistant for your specific needs. Free and open source with no subscriptions or hidden costs.

Xmd turns a URL or a PDF into a clean Markdown file — ready to drop into Obsidian, Logseq, Bear, iA Writer, or your own notes vault. Paste a link, pick a PDF, hit Convert. That's it. WHY Xmd • Smart per-source extraction. Xmd detects WordPress, news articles, documentation sites, PDFs, X / Twitter threads, Reddit, App Store, Google Play and Amazon — and picks the right technique for each, not a one-size-fits-all clipper. • Works on X / Twitter. Longform articles AND tweet threads. Most clippers can't read X because it's a JavaScript app; Xmd renders the page in a real WebView and walks the DOM. • More than articles. Beyond web pages and PDFs, Xmd recognizes structured pages too — Reddit discussions, App Store / Mac App Store / Google Play listings, and Amazon product pages — and turns them into clean Markdown. App Store listings can include the app's public user reviews. • PDFs done right. Paragraphs are recomposed instead of being shredded into one line per visual row. • Built-in OCR for scanned PDFs. When a PDF page has no text layer (a scan, a photo of a document), Xmd falls back to on-device OCR via Apple's Vision framework — Italian and English out of the box. No cloud round-trip, no separate app. • Cookie banners handled. Iubenda, OneTrust, Didomi and IAB TCF prompts are auto-dismissed so they don't pollute your Markdown. • Documentation-aware. On docs.* / readthedocs / github.io sites, fenced code blocks keep their language hints. • Show WebView toggle. For SPA-heavy or login-protected pages, interact with the page first, then extract. • Extensible. Hit a site Xmd doesn't recognize yet? Build your own extractor — map a few fields with CSS selectors and a template, or an advanced one for trickier pages. Test it against a live URL, then import/export to share. BUILT-IN MCP SERVER ON MAC (FOR ANY AI AGENT) On Mac, Xmd doubles as a Model Context Protocol server. Open the MCP tab, hit Start, and any MCP-compatible AI agent — Claude Desktop, Claude Code, Cursor, Zed, custom clients you build yourself — can call: • convert_url_to_markdown • convert_pdf_path_to_markdown • scrape_url — run targeted extraction on any page • save_extractor / list_extractors — teach Xmd a new site, reusable from then on Because the server reuses Xmd's real WebView, your agent can fetch JavaScript-rendered pages that pure HTTP-fetch tools can't — pull exactly what it needs from a page, then save it as a reusable extractor so Xmd handles that site automatically next time. One-click config snippet, live request log, all local on 127.0.0.1. No cloud relay, no API key, no subscription. This makes Xmd probably the easiest way to give an LLM agent first-class web and PDF reading capabilities on macOS. PRIVATE & LOCAL No account. No subscription. No cloud round-trip. Extraction happens on your device. Files stay on your device. NATIVE EVERYWHERE SwiftUI on iPhone, iPad, Mac and Vision Pro. Share Sheet extension on iOS — send a link from Safari, get a Markdown file back. Keyboard shortcut to convert (⌘↩). Save as .md or copy to clipboard. GREAT FOR • Note-takers building a personal knowledge base in Obsidian / Logseq / Bear • Researchers archiving sources in a readable, diff-friendly format • Writers collecting reference material • Engineers saving documentation pages offline • Mac users who run AI agents locally (Claude Desktop, Cursor, Zed, custom MCP clients) and want them to read the live web and PDFs Made with care. Built to be extended — bring your own extractors.