FreeDailyPro
200+ free browser tools — PDF, images, video, audio & more
What it does
FreeDailyPro is an all-in-one toolkit of 200+ productivity tools that run in your browser. Merge and compress PDFs, edit images, convert files, clean up audio, and more — with no signup for most tools and client-side processing so files stay on your device. Free daily use; optional Day Pass and Monthly Pro for heavy users.
200+ free tools for PDF, images, video, and text. Most need no signup at all — file tools include 10 free uses daily. No hidden catches, ever.
Run tools 100% in your browser, or use our API & MCP for server-side deployment. Not a page that says "coming soon" -- these are live, working listings you can subscribe to or connect to today. Officially listed as com.freedailypro/tools -- 61 tools, one endpoint Call our 200+ tools straight from your own code, or connect an AI agent over MCP -- same tools, server-side, for when browser-only isn't enough. No AI tools of any kind allowed on the network. Every FreeDailyPro tool still works — nothing is ever uploaded to a server. AI is allowed through approved, vetted tools only. Nothing here needs approval — there's no external server call to vet. Use whatever gets the job done. FreeDailyPro…from freedailypro.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.
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