PDFlexa
Fast, private PDF tools that work in your browser
What it does
PDFlexa brings everyday PDF tools together in one browser-based workspace. Merge, split, compress, convert, sign, organize and edit PDFs without installing software. Core PDF tools are designed to process files directly in the browser, with no account required.
Free online PDF tools that run in your browser. Compress, merge, split, convert, sign and edit PDFs — 40+ tools, no install, no sign-up required. 100% secure.
Easily edit, convert and sign PDFs. Fast, simple and secure. Convert PDF to the archival PDF/A format for long-term preservation. Scan documents with your camera or upload images to create a PDF. Extract text from scanned PDFs and images with AI-powered recognition. Ask questions and get instant answers from any PDF using AI. PDFlexa is a free, browser-based toolkit for working with PDF files — no software to install, no account required for most tools, and no file size games designed to push you toward a paywall. Merge, split, compress, convert, edit, sign, and protect PDFs directly in your browser: for most tools, your file is processed locally on your device and never uploaded to a…from pdflexa.com
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
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