68 results for “topic:pdf-to-markdown”
Knowledge Agents and Management in the Cloud
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.
E2M converts various file types (doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, m4a) into Markdown. It’s easy to install, with dedicated parsers and converters, supporting custom configs. E2M offers an all-in-one, flexible, and open-source solution.
PDF to markdown using vision LLMs — tables, layouts, and structure preserved
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.
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
Parse PDFs into markdown using Vision LLMs
A Python package for converting PDFs to markdown while extracting images and tables, generate descriptive text descriptions for extracted tables/images using several LLM clients. And many more functionalities. Markdrop is available on PyPI.
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.
Smart PDF to Markdown converter with intelligent heading detection, automatic header/footer removal, orphan fragment merging, and image export. Features a user-friendly GUI with preview mode, persistent settings, and per-page error recovery. Optimized for Obsidian and other Markdown-based note-taking workflows.
A powerful LaTeX formula recognition tool powered by pix2tex and pix2text. Features real-time MathJax preview, multi-format export (LaTeX, Markdown, MathML, HTML, OMML, SVG), and one-click copy to Word/Office. Offline-first, privacy-focused portable executable.
smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.
URL to Markdown API is a service that convert web content into clean, structured Markdown format through a simple HTTP GET request. It's built using FastAPI and the MarkItDown library, offering a straightforward way to convert various content types (web pages, YouTube videos, PDFs, documents) into Markdown that's optimized for Large Language Mod
PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.
A local document converter for Word/Markdown/Excel bidirectional conversion. Supports PDF, OCR, and 11 languages.
Serving files for hungry LLMs
Your RAG pipeline is broken and you don't know it. Chunky lets you validate your Markdown and choose the best chunking strategy before indexing.
Quick way to convert files (PDF, DOCX, HTML, PPTX, Images) to (MD, JSON, YAML) using Docling and Streamlit
RAG-Ingest: A tool for converting PDFs to markdown and indexing them for enhanced Retrieval Augmented Generation (RAG) capabilities.
Turn a supported list of filetypes (e.g. .docx) into a markdown structured text file. Also optionally defangs indicators and extract texts from images. Built for threat intel use-cases.
N8N OCR workflow
⚡ Pen2PDF Suite – an all-in-one 🚀 productivity platform ✨ with 🤖 AI-powered text extraction (PDF/Images → Markdown 📝), 📅 smart timetable management (CSV/Excel import 📊), ✅ todo lists with subtasks📈, 🧠 AI-generated notes library 📚 and 💬 Isabella AI assistant (OpenAI/Microsoft/llama/Mistral/LongCat/Gemini models 🔄)for context-aware help 🧩.
Open-source PDF-to-Markdown post-processor with footnotes, LaTeX normalization, figure links, and YAML metadata. Supports Marker, MinerU, PyMuPDF, and Docling. Includes a self-hosted web UI.
Convert any document format into LLM-ready data format (markdown) with advanced intelligent document processing capabilities powered by pre-trained models.
Bidirectional Markdown↔PDF converter with AI-powered vision. MD→PDF with beautiful themes, PDF→MD with LLaVA - open source & privacy-first
Claude Code plugin & Gemini cli extension to keep ai running, keep data safe, plan better, and keep running until tasks are done.
LangParse is a universal document parsing and text chunking engine for LLM or Agent applications — Documents In, Knowledge Out.
The industry's first "Open Source OCR Arena," a free, no-login utility for one-click benchmarking of 7 top-tier models (Marker, MinerU, MonkeyOCR, Docling, Dolphin, OCRFlux, PP-StructureV3) on your PDF/image files, specializing in PDF-to-Markdown conversion.
Gemini 3 built, privacy-first PDF to Markdown converter powered by Google Gemini 2.5 Flash. AI生成的pdf转markdown工具
FastAPI service for converting PDFs to Markdown/JSON/HTML using marker library with OCR and optional LLM integration