OpenDataLoader PDF

Safe, Open, High-Performance — PDF for AI

OpenDataLoader PDF converts PDFs into JSON, Markdown or Html — ready to feed into modern AI stacks (LLMs, vector search, and RAG).

It reconstructs document layout (headings, lists, tables, and reading order) so the content is easier to chunk, index, and query. Powered by fast, heuristic, rule-based inference, it runs entirely on your local machine and delivers high-throughput processing for large document sets. AI-safety is enabled by default and automatically filters likely prompt-injection content embedded in PDFs to reduce downstream risk.

Overview

Integration details

Class	Package	Local	Serializable	JS support
OpenDataLoader PDF	langchain-opendataloader-pdf	✅	❌	❌

Loader features

Source	Document Lazy Loading	Native Async Support
OpenDataLoaderPDFLoader	✅	❌

The OpenDataLoaderPDFLoader component enables you to parse PDFs into structured Document objects.

Requirements

• Python >= 3.9
• Java 11 or newer available on the system PATH
• opendataloader-pdf >= 1.1.1

Installation

pip install -U langchain-opendataloader-pdf

Quick start

from langchain_opendataloader_pdf import OpenDataLoaderPDFLoader

loader = OpenDataLoaderPDFLoader(
    file_path=["path/to/document.pdf", "path/to/folder"], 
    format="text"
)
documents = loader.load()

for doc in documents:
    print(doc.metadata, doc.page_content[:80])

Parameters

Parameter	Type	Required	Default	Description
file_path	List[str]	✅ Yes	—	One or more PDF file paths or directories to process.
format	str	No	None	Output formats (e.g. "json", "html", "markdown", "text").
quiet	bool	No	False	Suppresses CLI logging output when True.
content_safety_off	Optional[List[str]]	No	None	List of content safety filters to disable (e.g. "all", "hidden-text", "off-page", "tiny", "hidden-ocg").

Additional Resources

• LangChain OpenDataLoader PDF integration GitHub
• LangChain OpenDataLoader PDF integration PyPI package
• OpenDataLoader PDF GitHub
• OpenDataLoader PDF Homepage