WebViewer UI built in React

Sample to demonstrate integrating WebViewer into React

Simple and fancy PDF Viewer based on pdf.js 📄⚡️

A simple PDF viewer for React js

A resume generator with Nextjs and React Pdf

Some boilerplates to use React PDF viewer component

React PDF is a feature-rich React PDF viewer component. Powered by PDF.js, it offers seamless integration with PDF documents. With customizable toolbars, search, and smooth navigation, it’s designed to deliver a professional PDF viewing experience.

Package for displaying @react-pdf/renderer components as html elements

Demonstrates how to get started with making your own UI

I incorporated the 'react-pdf' package into project. And implemented a left sidebar that dynamically adjusts its content when scrolling is triggered.

Hurass Al-Thughur (حُراس الثغور) is a sophisticated, enterprise-grade Islamic knowledge platform that seamlessly bridges traditional Islamic scholarship with cutting-edge web technologies. This bilingual platform serves as a comprehensive digital ecosystem for authentic Islamic education, featuring an advanced magazine system, digital librar

E-Library management app based-on Django Rest API, JS/React and much more!

ScribeAI is an AI-powered web app built with Next.js that simplifies note-taking from PDFs. Users can upload PDFs, ask questions about the content, and let the AI generate accurate notes. With a rich text editor, seamless PDF management, and robust security, ScribeAI is perfect for students, professionals, and researchers.

Free and easy to use open source resume builder - This is still work in progress

Document Viewer is a project focused on building a PDF viewer component using React, enabling seamless integration and rendering of documents within web applications.

React PDF Starter toolkit with React, JavaScript and Vite

Using the react-pdf/renderer library in a NextJS application - YT : https://youtu.be/R-qihhJKvqw

NotyPDF helps you read pdf, extract and save quotes (or their translation) from PDF documents to your Notion database

A lightweight Python library for metadata-rich document chunking in Retrieval-Augmented Generation (RAG) workflows. It leverages Azure AI Document Intelligence to enhance chunking by retaining hierarchical structure, page numbers, and bounding boxes for seamless integration with PDF viewers.