Beyond basic PDF tools
PDFBox is not a PDF converter — it is a full document editor with a layer tree, annotation studio, page cropping, multi-select bulk actions, and a Figma-inspired canvas. Pages act as frames, annotations act as layers.
A premium, privacy-first PDF editor built with React, TypeScript, and Vite. Designed to look and feel like Figma — manage page layouts, edit frames, draw and annotate, redact content, compress file sizes, and secure your documents. All 100% locally in your browser.
PDFBox is not a PDF converter — it is a full document editor with a layer tree, annotation studio, page cropping, multi-select bulk actions, and a Figma-inspired canvas. Pages act as frames, annotations act as layers.
Collapsible layer tree in the sidebar mirrors how Figma organises frames and children. Multiple imported PDFs become collapsible parent folders. Double-page spread switches between 1P and 2P views dynamically.
All PDF rendering (PDF.js), manipulation (pdf-lib), and OCR (Tesseract.js/WASM) run entirely inside browser memory. No document data is transmitted over the network at any point.
Features
Collapsible, draggable, interactive sidebar layer tree. Pages act as frames, annotations act as layers within each page frame.
Switch dynamically between single-page (1P) and side-by-side two-page spread (2P) view without reloading the document.
Import or append multiple PDFs — PDFBox groups them under collapsible parent folders corresponding to the original files.
Crop any page using draggable visual bounding boxes or exact percentages, while retaining the original MediaBox dimensions.
Toggle multi-select mode in the sidebar to delete or export selected pages in a single click across any group.
Add text annotations, shapes (rectangle, circle, line, arrow), freehand drawing, highlighters, and image stamps.
Add custom passwords, set print/copy permissions, and stamp watermarks across all pages in a single operation.
Strip metadata and optimize object streams to achieve a target file size (in KB or MB) on-the-fly, without re-encoding images.
Perform local optical character recognition on any PDF page using Tesseract.js WASM to extract fully copyable text.
Tech stack
UI Framework
React
Language
TypeScript
Bundler
Vite
Styling
Tailwind CSS
PDF Render
PDF.js
PDF Write
pdf-lib
OCR
Tesseract.js
Icons
Lucide React
Hosting
Cloudflare
Build roadmap