Document Parsing 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

paddleocr

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

opendataloader-pdf

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

openocr-python

OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers.

langchain-opendataloader-pdf

A LangChain integration for OpenDataLoader PDF

pdfmuse

Deterministic PDF/DOCX parser for RAG/LLMs — Rust core with byte-identical Python/Node/WASM bindings

pdfmux

PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.

ethos-pdf

Open-source verifier for document citations, source evidence, RAG, and agents, with built-in document parsing.

docstrange

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

langchain-paddleocr

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

terbium-parse

A god-level algorithmic multi-file parser (PDF/PPTX/XLSX/CSV) that scores its own confidence and only reaches for AI when it is genuinely stuck.

grits-metric

GriTS metric for table extraction

acatome-extract

PDF extraction pipeline for acatome — Marker/fitz, metadata, block chunking

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.

flamehaven-filesearch

Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min

fadoudou2

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

doctape

Chop large PDFs into page windows, convert each with docling, and reassemble to Markdown

churro-ocr

OCR and page detection for historical documents

longparser

Privacy-first document intelligence engine — parse PDFs, DOCX, PPTX, XLSX & CSV into AI-ready chunks for RAG pipelines. Includes HITL review, 3-layer memory chat, and a production FastAPI server.

opendataloader-pdf-frankin

A Python wrapper for the opendataloader-pdf Java CLI.

tikara

The metadata and text content extractor for almost every file type.

llama-index-readers-pdfmuse

Deterministic PDF/DOCX parser for RAG/LLMs — Rust core with byte-identical Python/Node/WASM bindings