yft-design is a powerful, visually stunning online design tool built with Vue3, fabric.js, and Element Plus. 基于fabric.js的开源版【稿定设计】。一款美观且功能强大的在线设计工具，具备海报设计和图片编辑功能。适用于多种场景，如海报生成、电商产品图制作、文章长图设计、视频/公众号封面编辑等 。

An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.

Next.js template for seamless PDF parsing using pdf2json and FilePond. Ideal for developers seeking a ready-to-use solution for PDF content extraction in Next.js projects.

A lightweight easy to use package to parse text from PDF files on client side without any server dependency.

Next.js template for seamless PDF parsing using pdf2json and custom drag nd drop file-uploader. Ideal for developers seeking a ready-to-use solution for PDF content extraction in their Next.js projects.

Syncing resumes with the right jobs Email address

Full stack (Next.js) PDF AI SaaS App

A demo AI application for uploading PDF files and chatting withChatGPT regarding the content

Simple API for RCE Schedule

Monolithic REST API built with Node.js + TypeScript (Express, routing-controllers, typedi, OpenAPI). Upload PDFs (Multer), parse text/OCR, and extract row/seat via rules + LLM. MySQL (Prisma) for persistence. JWT auth, Dockerized dev, tests, optional Swagger.

🤖 MORVS AI - An intelligent chat interface powered by Groq's LLaMA 3 model with PDF processing capabilities. Built with Next.js, React, TypeScript, and modern UI components.

Flashcard maker written in TypeScript, utilizing Anthropic API to create great cloze flashcards.

웰스토리 메뉴 PDF Parser

This is an image/pdf OCR reader. Use it to extract text from either and image or PDF file, this project uses Tesseractjs & PDF-Parser to do OCR.

A PDF parser application built with Next.js that extracts and displays text from uploaded PDF files. Provides user feedback through a loading indicator and error handling for improved user experience.

This is a healthcare Chatbot implemented using Open AI that also recieve PDF Documents and Images and prescribe based on summary

AI-powered résumé transformer: match your CV to any job and export in LaTeX PDF.

A web backend for the PAGASA parser, used for web-based and graphical data processing. - best practices and examples for Docker and PDF parsing

Turn any PDF into a structured online course with modules, summaries, and key takeaways — powered by Node.js, MySQL, and AI models like GPT-4 & Claude.

Backend application test