MD2PDF
The privacy-first "Print" button for AI
What it does
MD2PDF: Fix AI Formatting Copy-pasting AI chats ruins formatting. MD2PDF restores it. Built for ChatGPT & Claude, it ensures professional sharing with zero privacy risks. Why MD2PDF? 🔒 100% Client-Side: Data never leaves your browser. No server storage. ✨ Perfect Rendering: Keeps KaTeX, Mermaid & Code blocks intact. 🚀 URL API: Automate direct PDF links for AI agents. 📋 Smart Paste: One-click clipboard import. Stop fighting formatting. Just paste and print.
Does a similar job
all alternatives →- FPFilling PDF forms with AI using client-side tool callingMay 2026 · copilot.simplepdf.com · ▲60
Hey HN! I built SimplePDF Copilot: an AI assistant that can interact with the PDF editor. It fills fields, answers questions, focuses on a specific field, adds fields, deletes pages, and so on. It's built on top of SimplePDF that I started 7 years ago, pioneering privacy-respecting client-side pdf editing, now used monthly by 200k+ people. As for the privacy model: the PDF itself never leaves the browser. Parsing, rendering, and field detection all run client-side. The text the model needs (and your messages) goes to whatever LLM you point at. By default that's our demo proxy (DeepSeek V4…
- JAJust another AI tool for chatting with docs, only better:)2024 · aipdf.ai · ▲5
aiPDF is your AI assistant that can scan, understand and "chat" with all your documents. It summarises massive docs in seconds and finds any information you want. It works with any file type, web articles and even with YouTube videos!
md2pdf.io - Real-time A4 PreviewNov 2025 · md2pdf.io · ▲2See exact A4 pages before converting — no more surprises
- CPCrabPDF – privacy-first PDF editor that edits real textApr 2026 · crabpdf.com · ▲10
Most PDF editors just overlay text boxes. CrabPDF modifies the actual text inside the file. Nothing leaves your computer... no server, no account, works offline.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
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AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 28d ago · cactuscompute.com
