Document Processing Python Packages

llama-cloud

Python SDK for OCR and document parsing in the cloud with LlamaParse

liteparse

A fast, helpful, and open-source document parser

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.

pyrhubarb

A Python framework for multi-modal document understanding with Amazon Bedrock

docling-ocr-onnxtr

OnnxTR OCR plugin for Docling

pdf-mcp

An MCP server that lets Claude Code and other AI agents work through large PDFs without overflowing their context — search by meaning or keyword, read only the pages that matter, and cleanly pull out tables, images, and scanned text, even from multi-column and Japanese layouts.

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.

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.

office-oxide

The fastest Office document library for Python, Rust, Go, JS/TS, C# and WASM. DOCX, XLSX, PPTX, DOC, XLS, PPT. Up to 100× faster than python-docx/openpyxl/python-pptx. 100% pass rate on valid Office files. MIT/Apache-2.0.

asset-aware-mcp

Asset-Aware MCP Server — AI Agent precisely accesses tables, figures, sections from PDFs + .docx round-trip editing (DFM) with 46 tools / 13 resources, segmentation export, layout overlay, OCR preprocessing, knowledge graph (LightRAG)

bargain

Low-Cost LLM-Powered Data Processing with Theoretical Guarantees

hwpkit

Read, fill, and edit Korean HWP (Hancom Office) documents in Python. Extract text for LLM / RAG pipelines, fill government & university forms programmatically, and rewrite the binary without corrupting it.

pdf-email-optimizer

Claude & Codex agent skill and CLI that shrinks PDFs to email-safe sizes while preserving visual quality — photo brochures, design exports, scans, and reports.

qdrant-loader

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

dm2xcod

Extract clean, structured Markdown from DOCX for LLM and RAG contexts.

deepseek-ocr-cli

CLI tool for OCR using DeepSeek-OCR model via Ollama. Local processing with zero cloud dependencies.

docling-graph

Transform unstructured documents into validated, rich and queryable knowledge graphs.

appmod-catalog-blueprints

Library of composable well-architected CDK solution blueprints for real-world use cases — AI agents, document processing, serverless applications and more. Deploy or customize on AWS in minutes.

ocrcontext

Intelligent document OCR and structured extraction. Turn PDFs and images into typed JSON with zero vendor lock-in.

docnest-ai

The document normalization engine RAG has always needed. Parse any document, understand its structure, build RAG that actually works.

qdrant-loader-mcp-server

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

qdrant-loader-core

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

sieves

Plug-and-play document AI with zero-shot models.

template-engine-ia

Document normalization engine: learn a template from examples and convert any document automatically via LLM.