PDFZio
100% Private, Zero-Upload PDF & AI Toolkit
What it does
Hi, I'm the founder of PDFZio.com. I am passionate about building fast, secure, and privacy-first web applications. Frustrated by online PDF tools that force users to upload sensitive documents to random cloud servers, I built PDFZio—a 100% client-side, WebAssembly-powered PDF and AI ecosystem. I believe data privacy shouldn't be a premium feature. My goal is to provide enterprise-grade document tools (like AI OCR, Batch Processing, and Merging) that run entirely in your browser's RAM.
Does the same job
all alternatives →- PFPrivacy friendly suite of PDF tools2023 · pdfux.com · ▲99
Hi HN, I have been working on a set of PDF tools that does all the processing directly in the web browser. From time to time I needed to do some simple PDF manipulations like merging PDF files. Sometimes the files contain my personal data and I was not comfortable using other online services where the file usually is uploaded to a remote server. Behind the scenes there is a small library written in C++ doing the changes to the PDF files. I am using the Emscripten compiler to compile it to WebAssembly that is running in the browser. It was a very good learning for me and it was easier than I…
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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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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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 · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
