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opendataloader-project/opendataloader-pdf

An open-source PDF parser for AI-ready data extraction and automated PDF accessibility remediation, offering benchmark-leading accuracy.

Core Features

#1 benchmark accuracy for PDF data extraction (Markdown, JSON, HTML).

Automated PDF accessibility (auto-tagging to Tagged PDF).

Supports scanned PDFs with built-in OCR and hybrid AI mode.

Provides bounding boxes for all extracted elements, ideal for RAG/LLM pipelines.

Multi-language SDKs: Python, Node.js, Java.

Quick Start

pip install opendataloader-pdf

Detailed Introduction

OpenDataLoader PDF is a robust, open-source solution designed to transform complex PDF documents into structured, AI-ready data formats like Markdown, JSON, and HTML. It excels in both digital and scanned PDF processing, featuring a hybrid AI mode with built-in OCR for superior accuracy, especially with tables and formulas. Beyond data extraction, it automates PDF accessibility by converting untagged PDFs into screen-reader-ready Tagged PDFs, adhering to PDF Association specifications. This tool is crucial for RAG/LLM pipelines and for organizations needing to comply with accessibility regulations efficiently.