Document Parsing Python Packages

docling

Get your documents ready for gen AI

docling-slim

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.

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.

kreuzberg

Kreuzberg v4 LTS — long-term support for the v4 line (legacy; superseded by xberg for v5+). MIT-licensed.

opendataloader-pdf

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

haiku-rag-slim

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

haiku-rag

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

agentic-doc

The official CLI for Agentic Document Extraction (ADE) by LandingAI — parse documents and extract schema-shaped data from your terminal

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.

docling-client

Get your documents ready for gen AI

pptxboss

PowerPoint engine written from scratch in Rust: reads .pptx and legacy .ppt, extracts text, notes, tables, charts and images, renders Markdown, verifies against ECMA-376, creates decks. CLI and Python bindings.

puffinparse

One API for every document parser: parse, OCR and extract across 18 providers, with an open, inspectable benchmark.

openparser-sdk

OpenParser schema, adapters, SDKs, and CLI

parse-bench

ParseBench - A Document Parsing Benchmark for AI Agents

grits-metric

GriTS metric for table extraction

smart-slice

Fidelity-first document slicing for RAG pipelines: ~30 formats in, retrieval-ready paragraphs out.

docket-idp

Invoice and receipt OCR for Python: extract cited, validated data with local or hosted LLMs

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.

tryworks

Turn PDF, Word, PowerPoint, Excel, HTML, Markdown and email into LLM-ready elements. unstructured's partition API with zero required dependencies.

docslicer

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

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.

acatome-extract

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