AI can’t work with documents it can’t understand.
The world’s knowledge is locked inside PDFs, presentations, spreadsheets, scanned documents, web pages and other complex formats. Simply extracting text isn’t enough.
- Tables lose their structure
- Reading order disappears
- Images become disconnected from context
- Formatting and relationships are lost
Docling preserves that structure so AI systems can actually use it.
Advanced document parsing
Docling recognizes document structure, layout, reading order, tables, formulas, images and other elements — rather than treating a document as a flat stream of text.
Work with almost any source
PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, audio, email and more can be processed through a unified pipeline.
Keep the information that matters
Docling’s document representation preserves relationships and provenance and can be exported to formats including Markdown, HTML, DocTags and DocLang.
From documents to AI workflows
Use Docling as the document layer for RAG pipelines, extraction, knowledge systems, agents and MCP-compatible applications.
From document to AI-ready context
01 — Input
- DOCX
- PPTX
- XLSX
- Images
- HTML
- Audio
02 — Understand
- Layout
- Reading order
- Tables
- Images
- Formulas
- OCR
03 — Structure
- DoclingDocument
- DocLang
- Metadata
- Provenance
04 — Use
- RAG
- Agents
- Search
- Extraction
- Knowledge graphs
- Automation
What can you build with Docling?
RAG & Knowledge Search
Turn complex documents into structured context for retrieval-augmented generation.
Document Extraction
Extract tables, fields and structured information from large document collections.
AI Agents
Give agents access to documents through structured content and MCP.
Enterprise AI
Process sensitive documents locally or in air-gapped environments.
