PDFly
The 100% Private, Client-Side PDF Suite
What it does
PDFly is a free PDF toolkit that processes your files directly in your browser. No uploads. No accounts. No waiting for a server. Merge, split, compress, convert, rotate and manage your PDFs while keeping your files on your device. Built for developers, students, professionals and anyone who works with PDFs regularly.
Merge, split, compress, convert, edit, and protect PDFs 100% free with PDFly. Zero file uploads, unlimited usage, and complete privacy by World Note.
Merge, split, compress, convert, and protect your PDFs — all processed directly in your browser. No servers, no uploads, complete privacy. Combine multiple PDF files into a single unified document with drag & drop reordering. Separate specific page ranges or extract pages into independent PDF documents. Visually select and remove unwanted pages from any PDF document. Reorder, delete, and rearrange pages in your PDF with live visual controls. Spot every difference between two PDF documents with word-level diff highlighting. Convert PDF documents into editable Word (RTF/DOC) format directly in browser. Render and convert every PDF page into high-definition JPG image files. Convert PDF pages…from pdfly.worldnote.in
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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 · 16d ago · simedw.com