Popular GitHub Repositories for Pdf

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero

LangChain & LangGraph AI PDF chatbot agent

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

File Parser optimised for LLM Ingestion with no loss ? Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

一站式划词 / 截图 / 网页全文 / 音视频 AI 翻译扩展。

A machine learning software for extracting information from scholarly documents

Create chatbots with ease

Enjoy reading with your favorite style.

Zotero chat PDF with DeepSeek, GPT 4.5, ChatGPT, Claude, Gemini

Open-source platform for extracting structured data from documents using AI.

translate scientific papers in latex, especially arxiv papers

Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

Mouseover Translate Any Language At Once - Chrome Extension: PDF Translator, EBOOK, EPUB, OCR, TTS, YOUTUBE DUAL SUBTITLES, GOOGLE DOCS, AI, VIEWER, GMAIL, WRITING, IMAGE, DUAL SUBS, MANGA, HOVER, DICTIONARY, WEBTOON, EDGE, JAPANESE, ENGLISH

Connect and chat with your multiple documents (pdf and txt) through GPT 3.5, GPT-4 Turbo, Claude and Local Open-Source LLMs

This is a tool that uses a multimodal LLM to transcribe PDF files into Markdown format. 借助多模态大模型将PDF文件转为Markdown

Mercury - Train your own custom GPT. Chat with any file, or website.

A demo Jupyter Notebook showcasing a simple local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.