Opendataloader-Pdf

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opendataloader-pdf is an AI Agents & Automation tool that parses PDFs for AI-ready data. It extracts Markdown, JSON with bounding boxes, and HTML, and offers built-in OCR for scanned documents, achieving #1 in benchmarks for accuracy.

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At a glance

Pricing

Open Source · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is opendataloader-pdf?

opendataloader-pdf is an open-source PDF parser designed to extract AI-ready data from any PDF document. It excels at converting PDFs into structured Markdown, JSON (including bounding boxes), and HTML formats, making it ideal for Retrieval-Augmented Generation (RAG) applications. The tool boasts top performance in benchmarks, achieving 0.907 overall accuracy and 0.928 table accuracy across diverse real-world PDFs. It features a deterministic local mode for speed and an AI hybrid mode for complex pages, including built-in OCR for over 80 languages to handle scanned PDFs. Additionally, it supports advanced features like extracting complex tables, LaTeX formulas, and generating AI-powered descriptions for images and charts. Future updates include free auto-tagging for PDF accessibility automation.

Best used for

Ideal for developers and data scientists who need to extract structured data from PDFs, prepare documents for RAG systems, and automate PDF accessibility. Especially valuable for handling complex tables, scanned documents with OCR, and generating AI descriptions for charts and images.

Common actions

extract PDF data

parse PDF content

automate PDF accessibility

prepare data for RAG

convert PDF to structured data

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Capabilities

Key features

PDF to Markdown/JSON/HTML
Bounding box extraction
Built-in OCR (80+ languages)
Complex table extraction
LaTeX formula extraction
AI chart/image description
PDF accessibility auto-tagging

Target Audience

developerdata scientist

Integrations

langchain

Pricing & Plans

Open Source · Enterprise

Free

FAQs

What output formats does opendataloader-pdf support?

opendataloader-pdf can convert PDFs into Markdown, JSON (with bounding boxes), and HTML. It also supports generating annotated PDFs for visual debugging of detected structures. You can combine formats, for example, requesting both JSON and Markdown output simultaneously.

Does opendataloader-pdf handle scanned PDFs and OCR?

Yes, opendataloader-pdf includes built-in OCR capabilities for over 80 languages in its hybrid mode. This allows it to process image-based or poor-quality scanned PDFs effectively, requiring 300 DPI+ for optimal results.

How accurate is opendataloader-pdf compared to other parsers?

opendataloader-pdf ranks #1 in benchmarks, achieving an overall accuracy of 0.907 and 0.928 for table accuracy across 200 real-world PDFs. Its hybrid mode combines fast local processing with AI backends for superior performance on complex pages.

What are the system requirements for opendataloader-pdf?

To use opendataloader-pdf, you need Java 11+ and Python 3.10+. Node.js and Java SDKs are also available. For the hybrid mode, you'll need to install additional dependencies and run a backend server.

When will the PDF accessibility auto-tagging feature be available?

The auto-tagging feature, which generates Tagged PDFs for accessibility, is planned for release in Q2 2026. This will be an open-source component, with PDF/UA-1 and PDF/UA-2 export available as an enterprise add-on.

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AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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