Docling Project
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3 MCP Servers7 Skillsacross 4 categoriesChristoph Auer <[email protected]>, Michele Dolfi <[email protected]>, Maxim Lysak <[email protected]>, Nikos Livathinos <[email protected]>, Ahmed Nassar <[email protected]>, Panos Vagenas <[email protected]>, Peter Staar <[email protected]>
SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
...morePeter Staar <[email protected]>, Adel Zaalouk <[email protected]>, Michele Dolfi <[email protected]>, Panos Vagenas <[email protected]>, Christoph Auer <[email protected]>, Cesar Berrospi Ramis <[email protected]>
Convert PDFs and other documents to structured formats via Docling, for AI applications.
MCP server that converts documents to Markdown for AI agents: PDF with layout, tables and OCR, DOCX, PPTX, XLSX, HTML, scans. docling in Rust, MarkItDown's convert_to_markdown tool.
...moreRust port of docling (docling.rs): convert PDF/DOCX/HTML/... to Markdown or docling JSON. Python bindings.
LangChain document loader for docling.rs: PDF with layout, tables and OCR, DOCX, PPTX, XLSX, HTML and 40-odd formats into LangChain Documents, chunked with docling's metadata. docling in Rust, langchain-docling's API.
...moreFast, local document-to-Markdown for LLMs and RAG: docling in Rust, with docling's and MarkItDown's Python APIs. PDF (layout, tables, OCR), DOCX, PPTX, XLSX, HTML, EPUB, email and more.
...moredocling.rs contributors
LlamaIndex reader for docling.rs: PDF with layout, tables and OCR, DOCX, PPTX, XLSX, HTML and 40-odd formats into LlamaIndex Documents as Markdown or docling JSON. docling in Rust, no PyTorch.
...moreGitHub Actions
In-browser document conversion: DOCX, HTML, XLSX, PPTX, EPUB, Markdown, … and the text layer of PDFs → Markdown / docling JSON / DocLang, fully client-side (docling.rs compiled to WebAssembly)
...moreNikos Livathinos <[email protected]>, Maxim Lysak <[email protected]>, Ahmed Nassar <[email protected]>, Christoph Auer <[email protected]>, Michele Dolfi <[email protected]>, Peter Staar <[email protected]>
This package contains the AI models used by the Docling PDF conversion package