OpenDataLoader PDF

// Overview

OpenDataLoader PDF is an open-source tool that converts PDF files into AI-ready data. It extracts text, tables, headings, lists, and images, then outputs them as Markdown, JSON (with bounding boxes for every element), or HTML. This makes it a solid first step for RAG pipelines and other LLM workflows that need clean, structured input.

It runs a fast, deterministic local mode and an optional hybrid mode that routes hard pages, such as complex tables, scanned documents, and formulas, to an AI backend. Beyond extraction, it also auto-tags untagged PDFs into screen-reader-ready Tagged PDFs, which is a free Apache-2.0 foundation for PDF accessibility work.

// What it does

• Extracts Markdown, JSON, and HTML from any PDF, with bounding boxes attached to every element for source citations
• Deterministic local mode plus an optional hybrid AI mode for complex tables, formulas, charts, and scanned pages
• Built-in OCR (80+ languages) in hybrid mode for scanned and image-based PDFs
• Detects reading order, heading hierarchy, numbered, bulleted, and nested lists
• Auto-tags untagged PDFs into Tagged PDFs as a free foundation for accessibility and PDF/UA workflows
• AI safety filters for prompt-injection content, plus header, footer, and watermark filtering

// Getting started

OpenDataLoader PDF needs Java 11+ and Python 3.10+. Check Java with `java -version` first, then install the Python package and convert your files. Node.js and Java SDKs are also available.

pip install -U opendataloader-pdf

import opendataloader_pdf

opendataloader_pdf.convert(
    input_path=["file1.pdf", "file2.pdf", "folder/"],
    output_dir="output/",
    format="markdown,json"
)

pip install "opendataloader-pdf[hybrid]"
opendataloader-pdf-hybrid --port 5002
opendataloader-pdf --hybrid docling-fast file1.pdf file2.pdf folder/

pip install -U langchain-opendataloader-pdf
from langchain_opendataloader_pdf import OpenDataLoaderPDFLoader

Commands and code are distilled from the project's own documentation — always check the official repo for the latest.

// When to use it

• Build RAG pipelines by parsing PDFs into structured Markdown for chunking, or JSON with bounding boxes for element-level control and source citations
• Extract tables, formulas, and chart descriptions from complex or scanned documents using hybrid mode with built-in OCR
• Auto-tag untagged PDFs into Tagged PDFs to speed up accessibility remediation at scale instead of paying for manual document-by-document fixes

// How OpenDataLoader PDF compares

OpenDataLoader PDF alongside other open-source parsing & ingestion tools AI/TLDR tracks, ranked by GitHub stars.