Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

A modern PDF library for TypeScript. Parse, modify, and generate PDFs with a clean, intuitive API.

Node.js module for high performance creation, modification and parsing of PDF files and streams

Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.

Easily deployable and scalable backend server that efficiently converts various document formats (pdf, docx, pptx, html, images, etc) into Markdown. With support for both CPU and GPU processing, it is Ideal for large-scale workflows, it offers text/table extraction, OCR, and batch processing with sync/async endpoints.

A Python tool to help extracting information from structured PDFs.

A powerful PDF tool for NodeJS based on HummusJS.

(Java)A Method to Extract Tabular Content from PDF Files

PDF解析（文字，章节，表格，图片，参考），基于大模型(ChatGLM2-6B, RWKV)+langchain+streamlit的PDF问答，摘要，信息抽取

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced information retrieval and processing.

Node.js module for rendering pdf pages to images, svgs, html files, text files and json metadata

Java utility for parsing PDF tabular data using Apache PDFBox and OpenCV

Parsing resumes in a PDF format from linkedIn

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 PDF parser written in Python 3 with no external dependencies.

ResumeTex is an AI-powered tool that converts standard PDF resumes into professionally formatted LaTeX documents. This service helps you create elegant, structured resumes without needing to learn LaTeX syntax.

Ray-based accelerator for MinerU VLM inference pipeline. Lightweight, multi-GPU friendly PDF → Markdown processing. 基于 Ray 的 MinerU VLM 推理加速器，轻量、低侵入，面向多 GPU / 国产算力环境的 PDF → Markdown 处理方案。

Written in python, for checking reference lists in systematic reviews and literature reviews, helps with reference list searching both backward&forward by extracting references and creating search queries, ranks articles by relevance to improve screening efficiency, download full-text pdf of research articles in batch.

A privacy-focused AI chat platform built with Vite + Capacitor + Cloudflare. Runs locally or in the cloud, supports Gemini models, live web search, and intelligent key rotation. No sign-up required — fast, secure, and customizable.

Example of use of pdfreader: parse a PDF résumé

Malice PDF Plugin

A collection of PDF data mining scripts for various IMRT QA vendors

Chat with your PDFs using AI! This Streamlit app uses RAG, LangChain, FAISS, and OpenAI to let you ask questions and get answers with page and file references.

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.

Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software development workflows.

An ultimate pdf file disintegration tool

Upload your resume and check out your best matching jobs!

PDF-Master: A Comprehensive Pipeline for PDF Parsing with Large Language Models (LLMs), 一个综合的大模型PDF文档的解析流程 ✨

The contents of this repository showcase how to extract table data from a PDF file and preprocess it to facilitate word embedding. This preprocessing step enhances the readability of table data for language models and enables us to extract more contextual information from the tables.