PDF Processing Library / Document Automation Tool
16.5k 2026-04-14

opendataloader-project/opendataloader-pdf

An open-source PDF parser for AI-ready data extraction and automated PDF accessibility compliance.

Core Features

#1 benchmarked PDF data extraction (Markdown, JSON, HTML).
Automated PDF accessibility (layout analysis, auto-tagging to Tagged PDF).
Hybrid AI mode with built-in OCR for complex and scanned PDFs.
Supports multiple SDKs: Python, Node.js, Java.
Collaboration with PDF Association and Dual Lab for robust accessibility.

Quick Start

pip install opendataloader-pdf

Detailed Introduction

OpenDataLoader PDF is an open-source project designed to streamline the processing of PDF documents for both AI data readiness and accessibility compliance. It offers industry-leading accuracy in extracting structured data like Markdown, JSON (with bounding boxes), and HTML from diverse PDF types, including complex and scanned documents via its hybrid AI mode with OCR. Beyond data extraction, it pioneers automated PDF accessibility by providing layout analysis and auto-tagging to generate Tagged PDFs, addressing the global need for scalable and cost-effective accessibility solutions. Built on robust specifications and community collaboration, it aims to replace expensive manual remediation processes.

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