Pdf To Markdown Python Packages

pdf-oxide

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.

pdf-craft

PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.

mdcx

Convert a document collection to verified Markdown, package it into a single encrypted archive with its search index and provenance, and serve it to agents over the Model Context Protocol. Python 3.11+, Apache-2.0.

pdfmd-cli

One command from Markdown to a good-looking PDF: a Pandoc wrapper with smart defaults, project-file discovery and a multi-engine fallback chain

research-pipeline

Deterministic stage-based pipeline for searching, screening, downloading, converting, and summarizing academic papers. CLI + MCP server.

all2md

Convert PDF, Word, PowerPoint, HTML, email & 40+ formats to clean Markdown — and back. Built for LLMs, RAG & Python pipelines, with a built-in MCP server.

magi-research

Agent-native research workspace. A deterministic CLI that ingests arXiv / PDF / LaTeX / Zotero papers into an Obsidian-compatible knowledge graph, with local hybrid search (BM25 + vectors), claim-level provenance, and a nightly literature radar.

pvliesdonk-scholar-mcp

Scholarly papers, patents, books, standards and PDF conversion

docshelf-mcp

MCP server that turns a folder of PDFs and Markdown into an AI-friendly document shelf. Convert, split by chapter, auto-index — Claude/ChatGPT answers from a 5 KB INDEX over raw URLs.

pdf-oxide-fips

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.

pdfmux

PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.

langchain-flatmark

Official flatmark integrations: n8n, Zapier, Make, Dify, SDKs and templates.

pdf2md-study

Convert papers and lecture slides (PDF) into study-ready Markdown for LLMs — equations and code kept as images, logos and references stripped. (plus, for Hyunseo's CI/CD process study)

file2txt

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.

doc2md-mcp

MCP server: convert PDF/DOCX/PPTX/XLSX/EPUB/HTML & scanned docs to clean Markdown — URL-first, keyless, table-preserving, with OCR, split/merge and search. Deployable on Glama.

docstrange

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.

pagebound

Convert each PDF once: content-addressed cache of Docling conversions with page and bounding-box provenance. Zotero-aware, built for agents and scripts.

langparse

LangParse is a universal document parsing and text chunking engine for LLM or Agent applications — Documents In, Knowledge Out.

pagemark

PDF to Markdown with vision-language models — bring your own OpenAI-compatible endpoint. Detects and recovers from VLM failures instead of passing them through.

markdrop

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.

veriscript

Offline document restoration: photo/scan in, searchable PDF + honest review flags out. Devanagari (Nepali/Hindi) first. Local, no cloud calls.

mathcraft-ocr

Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.

vision-parse

Parse PDFs into markdown using Vision LLMs

llm-data-converter

Convert any document format into LLM-ready data format (markdown) with advanced intelligent document processing capabilities powered by pre-trained models.