My PDF Helper
Everyday PDF tools, directly in your browser
What it does
My PDF Helper brings common PDF tasks into one browser-based workspace: merge, split, compress, convert, edit, OCR, sign, and protect documents. It is designed for everyday workflows with clear previews and practical controls, so users can review outputs before relying on them.
Does the same job
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Highlight & Summarize: PDF Companion2024 · ▲129Highlight & summarize PDFs effortlessly with powerful tool
- PAPDF Assembler – client-side PDF editing2018 · ▲25
Here's a neat hack I made recently to do basic PDF editing directly in a browser—without having to upload anything to a server. I was initially looking for a way to do simple PDF modification (extracting pages, merging, and adding page numbers). There are some good server-side tools for this (QPDF, PDFTk, PDFBox, iText, Hummus), but for better speed and privacy I really wanted a 100% client-side solution. There are a few good JavaScript PDF libraries for reading and displaying PDFs (pdf.js) and creating PDFs from scratch (jsPDF, PDFKit), but I couldn't find any for editing existing PDFs. So,…
More work this month
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The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d 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 · 17d ago · simedw.com