Document Parser Python Packages

docling

Get your documents ready for gen AI

unstructured

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

docling-slim

Get your documents ready for gen AI

graphlit-client

Python client library for Graphlit Platform

autorag

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

rhwp-python

PyO3 Python bindings for rhwp — parser and renderer for HWP/HWPX documents (Korean Hancom word processor format)

deepdoctection

A Repo For Document AI

openparse

Improved file parsing for LLM’s

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.

dd-core

A Repo For Document AI

dd-datasets

A Repo For Document AI

docstrange

Extract and Convert PDF, Word, PowerPoint, Excel, images, URLs into multiple formats (Markdown, JSON, CSV, HTML) with intelligent content extraction and advanced OCR.

vision-parse

Parse PDFs into markdown using Vision LLMs

olgadoc

Four formats. One engine. PDF, DOCX, XLSX, HTML → Markdown and typed JSON, 15–40× faster than equivalent-quality OSS. Rust core with strictly-typed Python bindings.

semantic-ai

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

churro-ocr

OCR and page detection for historical documents

automated-document-parser

A powerful and automated document parser built with LangChain for intelligent document processing. Automatically detects file types and uses appropriate loaders for PDF, DOCX, CSV, JSON, HTML, and more.

llamarker

Your ultimate tool for effortlessly converting and parsing documents into clean, well-structured Markdown—fast, reliable, and 100% local! 💻✨

unstructured-cpu

A library that prepares raw documents for downstream ML tasks.

docling-google-ocr

SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.

anyparser-crewai

Anyparser CrewAI Integration

df-extract

DecisionFacts Extraction Library extracts content from PDF, PPTX, Docx, png, jpg., and convert as structured JSON data.

marie-ai

Python library to Integrate AI-powered features into your applications

docling-enhanced

SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.