Layout Analysis Python Packages

mineru

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

layoutparser

A Unified Toolkit for Deep Learning Based Document Image Analysis

magic-pdf

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

rapid-layout

Analysis of Chinese and English layouts 中英文版面分析

pix2text

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

asset-aware-mcp

Agent document collaboration: versioned PDF pages/annotations/forms, raster frames, DOCX/PPTX, spreadsheets and CSV/TSV, with checked edits, source provenance, CSL citations and wikilink evidence libraries

pdf-layout-scanner

A more complete example of programming with PDFMiner, which continues where the default documentation stops

preocr

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

pdf-2-json-extractor

A high-performance Python library for extracting structured content from PDF documents with layout-aware text extraction. pdf_to_json preserves document structure including headings (H1-H6) and body text, outputting clean JSON format.

cells2table

Efficient pipelines and models for document AI, with Docling support via plugins

mineru-selfhosted-mcp

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

recrystal

A layout parser for research papers: PDF in, ordered typed blocks out. Fine-tuned YOLO11 detection over onnxruntime, PyMuPDF words, column-aware assembly. Loses 24 of 400 answer spans against Docling's 48 and PyMuPDF4LLM's 61, and parses 2.88× faster than Docling, on 514 papers. AGPL-3.0.

mineru-next-dev

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

lazyllm-magic-pdf

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

trueparse

Open-source PDF parsing engine with true visual asset extraction, structural table grids, and canonical JSON output.

quanta-pdf

Advanced PDF layout analysis engine for extracting figures, tables, and structured content from complex engineering documents using computer vision and machine learning.

xh-pdf-parser

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

filestruct

A python package to structure files using visual and style informations

pdfsegmenter

This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.

pdf2struct

`pdf2struct` extracts structured JSON from PDF documents.

text2design

A new package that enables users to input textual descriptions of visual design, layout, or interface concepts and returns structured representations or annotations derived from the description. It le

ocrd-gbn

OCR-D compliant toolset for optical layout recognition on historical german-language documents published in Brazil