TronoPDF
38 free PDF tools that run 100% in your browser
What it does
TronoPDF is a free, privacy-first PDF toolkit with 38 tools — merge, split, compress, convert, sign, edit, OCR, translate & more. Everything runs 100% in your browser using Web Workers, so your files NEVER leave your device. No signup, no watermark, no limits. Includes dark mode, installable PWA, and works on mobile + desktop.
TronoPDF - Fast, private PDF tools that work in your browser. Merge, split, compress, convert, sign PDFs. For supported tools, your files stay on your device. No signup required.
Merge, compress, convert, edit, sign and manage PDFs directly in your browser. No signup. For supported tools, your files stay on your device. Fast and simple. Combine PDFs in the order you want with the easiest PDF merger available. Separate one page or a whole set for easy conversion into independent PDF files. Easily convert your PDF files into easy to edit DOC and DOCX documents. Turn your PDF files into easy to edit PPT and PPTX slideshows. Pull data straight from PDFs into Excel spreadsheets in a few seconds. Make DOC and DOCX files easy to read by converting them to PDF. Make PPT and PPTX slideshows easy to view by converting them to PDF. Make EXCEL spreadsheets easy to view by…from tronopdf.com
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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