Docling Fundamentals

Convert unstructured PDFs, DOCX, and HTML documents into structured Markdown or JSON.

1|1|Updated Feb 4, 2026

Search Tags:#metadata #multi-format #document-processing #docling #structure-aware #granite

Ready to run

npx skills add https://github.com/orbruno/docling-ccplugin --skill docling-fundamentals

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Docling Fundamentals
Source: https://github.com/orbruno/docling-ccplugin/tree/main/skills/docling-fundamentals
Command: npx skills add https://github.com/orbruno/docling-ccplugin --skill docling-fundamentals

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Docling Fundamentals helps developers and data teams understand and apply Docling to transform unstructured documents into structured, metadata-rich representations. It covers multi-format support, structure preservation, and metadata extraction to power AI pipelines.

Core Features & Use Cases

Structure-aware parsing of PDFs, DOCX, HTML to preserve sections, tables, and layout
Metadata extraction including page numbers, section titles, and provenance
Multi-format export options (Markdown, JSON, DoclingDocument) and integration with downstream tools
Use cases include building RAG pipelines, knowledge bases, and enterprise document processing

Quick Start

Install Docling, create a DocumentConverter, and convert a sample document to see structured output.

Frequently Asked Questions about Docling Fundamentals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured data from PDFs and DOCX for RAG pipelines?▼

Docling performs structure-aware extraction on PDFs, DOCX, and HTML, transforming unstructured documents into structured, metadata-rich representations. It preserves layout, sections, and tables to enable knowledge bases, RAG pipelines, and automated metadata capture across formats.

How do I convert HTML and scanned documents to Markdown or JSON?▼

Convert HTML and scanned documents to Markdown or JSON by applying Docling's structure-aware parsing. This multi-format document-processing approach captures page numbers and section titles while exporting provenance-tracking metadata for downstream processing.

Does Docling preserve document provenance and section titles during extraction?▼

Yes, Docling preserves document provenance and section titles during extraction. It performs structure-aware parsing to capture page numbers, layout, and section metadata, ensuring the structured output retains original document context for AI workflows.

What is the best way to capture metadata from multi-format enterprise documents?▼

The best way to capture metadata from multi-format enterprise documents is using Docling to transform unstructured inputs into structured representations. It extracts section titles and page numbers from PDFs and HTML, exporting to DoclingDocument for automated metadata capture.

Can I use Docling output directly with downstream knowledge base tools?▼

Yes, you can use Docling output directly with downstream knowledge base tools. It exports structured documents to Markdown, JSON, or DoclingDocument formats, enabling seamless integration with RAG pipelines and enterprise document processing systems.

Do I need to install any dependencies to start parsing documents with Docling?▼

You need to install Docling to start parsing documents, but no additional dependencies are required. Simply install Docling, create a DocumentConverter, and convert your sample PDF or DOCX to see structured output for your AI workflows.