Skill Detail
Extract structured markdown, JSON, and tagged-PDF-ready outputs from PDFs with OpenDataLoader PDF
Convert PDFs into LLM-ready markdown or coordinate-aware JSON, and use the same pipeline for tagged-PDF accessibility workflows when that is the real job to be done.
Data Extraction & TransformationMulti-Framework
Data Extraction & Transformation
Multi-Framework
Security Reviewed
⭐ 19.1k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill extract-structured-markdown-json-and-tagged-pdf-ready-outputs-from-pdfs-with-opendataloader-pdf
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python 3.10+, Java 11+, PDF inputs, optional hybrid-mode backend setup for complex pages or OCR-heavy jobs
Install & setup
Install the package from the documented pip path, confirm Java 11+ is available, then run the convert workflow against one or more PDFs to emit markdown, JSON, HTML, or the documented accessibility-oriented outputs.
Author
opendataloader-project
Publisher
Organization
Last updated
Apr 21, 2026
Quick brief
Use OpenDataLoader PDF when an agent needs to turn PDFs into structured outputs such as markdown, JSON with bounding boxes, or accessibility-oriented tagged-PDF artifacts rather than treating it as a general document platform. A user should invoke it when the task is PDF extraction, layout-aware parsing, or remediation preparation for downstream RAG and accessibility flows. That scope boundary, PDF-only structured extraction and tagging workflow, keeps this skill-shaped instead of reading like a generic parsing SDK listing.