Extract structured markdown, JSON, and tagged-PDF-ready outputs from PDFs with OpenDataLoader PDF

Convert PDFs into LLM-ready markdown or coordinate-aware JSON, and use the same pipeline for tagged-PDF accessibility workflows when that is the real job to be done.

Prerequisites

Python 3.10+, Java 11+, PDF inputs, optional hybrid-mode backend setup for complex pages or OCR-heavy jobs

Installation

Use the upstream install or setup path that matches your environment:

• pip install -U opendataloader-pdf
• npm install @opendataloader/pdf
• pip install -U "opendataloader-pdf[hybrid]"
• pip install -U langchain-opendataloader-pdf

Requirements and caveats from upstream:

• sdk: Python, Node.js, Java
• Requires: Java 11+ and Python 3.10+ (Node.js | Java also available)
• python

Basic usage or getting-started notes:

• pricing: open-source core (data extraction, layout analysis, auto-tagging to Tagged PDF), enterprise add-on (PDF/UA export, accessibility studio)

• extraction-benchmark: #1 overall extraction accuracy (0.907) in hybrid mode, 0.928 table extraction accuracy, 0.015s/page local mode

• accessibility-validation: PDF Association collaboration, Well-Tagged PDF specification, veraPDF automated validation

• Source: https://github.com/opendataloader-project/opendataloader-pdf

• Extracted from upstream docs: https://raw.githubusercontent.com/opendataloader-project/opendataloader-pdf/HEAD/README.md

Documentation

• https://opendataloader.org

Source

• Agent Skill Exchange