Document Analysis Python Packages

mineru

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

magic-pdf

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

complydoc

Know your documents before they reach an LLM

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.

retab

The developper starter pack for document processing

unmasker

Detect hidden, residual, and machine-readable content in documents, images, and files.

ausca

Pay-per-call APIs and MCP services for AI agents: document OCR, document analysis, media transcription, browser sessions, and agent inboxes. USDC on Base over x402, no API keys, receipt-backed results.

dd-agents

Legal flags a risk. Finance flags another. We connect and cite. Open-source forensic M&A due diligence: 13 AI agents read your data room across 9 domains (Legal, Finance, Commercial, Tech, Cyber, HR, Tax, Regulatory, ESG), cross-reference findings no single reviewer connects, and trace every one to an exact page & quote.

mdify-cli

MDify is a document-to-Markdown conversion library for extracting structured content from complex PDFs and document images, including tables, charts, and scanned documents.

documentai-std

DocumentAI-std is a Python library designed to facilitate and standardize document analysis and processing tasks. It offers functionality for handling document elements, performing optical character recognition (OCR), and managing document datasets.

sieve-lens

Zero-dependency, deterministic observation engine for invisible content (zero-width chars, CSS hiding, metadata) in documents submitted to AI-based evaluation systems.

cognithor

Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.

samyak

AI engineering tooling for building reliable AI applications.

docslicer

Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.

dedoc

Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser

doctra

📄🔍 Parse, extract, and analyze documents with ease 📄🔍

contractguardian

AI agent that reads the fine print so you don't have to. Upload any contract → get red flags, unfair terms, and plain-English explanations in seconds.

drm-tools

Graph-based document representation library with Neo4j, Memgraph, Apache Jena (SPARQL) and NetworkX backends

preocr

Fast document classification and OCR detection. Analyzes any file type to determine if OCR is needed, saving time and money on unnecessary processing.

uiform

The developper starter pack for document processing

mineru-selfhosted-mcp

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

k-llms

The developper starter pack for document processing

llmdocparser

A package for parsing PDFs and analyzing their content using LLMs.

langchain-ausca

Pay-per-call APIs and MCP services for AI agents: document OCR, document analysis, media transcription, browser sessions, and agent inboxes. USDC on Base over x402, no API keys, receipt-backed results.