docling-mps 2.110.0

Modular version of the Docling package: SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.

Docling Slim

Lightweight SDK for parsing documents with minimal dependencies and opt-in extras

Docling Slim is a minimal-dependency version of Docling that allows you to install only the components you need. It provides the core document processing functionality with ~50MB of base dependencies, and you can add specific features through optional extras.

When to Use Docling Slim

• Use docling (recommended): If you want the full-featured experience with all standard capabilities
• Use docling-slim: If you need fine-grained control over dependencies or want to minimize installation size

For Most Users: Use the Main Docling Package

We recommend most users install the full-featured docling package instead:

pip install docling

The docling package includes all standard features, the CLI tools, and is the easiest way to get started. Visit the main Docling documentation for complete guides and examples.

Installation

With Specific Features

# PDF support with local models
pip install docling-slim[format-pdf,models-local]

# Office formats only
pip install docling-slim[format-office]

# PDF + CLI
pip install docling-slim[format-pdf,cli]

# Docling service client for using the Docling Serve API
pip install docling-slim[service-client]

Available Extras

Convenience Bundles

Extra	Description	Use Case
standard	All standard features (same as docling package)	Full-featured usage
all	All available extras	Complete installation

CLI

Extra	Description	Use Case
cli	Command-line interface (typer, rich)	CLI tools (docling, docling-tools)

Core Components

Extra	Description	Use Case
convert-core	Core conversion components (numpy, pillow, scipy)	Basic document conversion
extract-core	Structured information extraction	Data extraction from documents

Format Support

PDF Formats

Extra	Description	Use Case
format-pdf	PDF parsing (pypdfium2 + docling-parse)	PDF documents
format-pdf-pypdfium2	PDF rendering only	Lightweight PDF support
format-pdf-docling	Advanced PDF parsing	Complex PDF layouts

Office Formats (office = docx + pptx + xlsx)

Extra	Description	Use Case
format-office	All Office formats	Microsoft Office documents
format-docx	Microsoft Word documents	.docx files
format-pptx	Microsoft PowerPoint	.pptx files
format-xlsx	Microsoft Excel	.xlsx files

Web Formats (web = html + markdown)

Extra	Description	Use Case
format-web	HTML and Markdown	Web content
format-html	HTML parsing	Web pages and HTML files
format-markdown	Markdown parsing	.md files

Other Formats

Extra	Description	Use Case
format-latex	LaTeX documents	.tex files
format-xml-xbrl	XBRL financial reports	Financial documents
format-html-render	HTML rendering with Playwright	Dynamic web content
format-audio	Audio transcription (Whisper)	.wav, .mp3 files

OCR Engines

Extra	Description	Use Case
feat-ocr-rapidocr	RapidOCR (lightweight)	Fast OCR
feat-ocr-rapidocr-onnx	RapidOCR with ONNX runtime	Optimized OCR
feat-ocr-easyocr	EasyOCR	Multi-language OCR
feat-ocr-tesserocr	Tesseract OCR	High-accuracy OCR
feat-ocr-mac	macOS native OCR	macOS only

Models

Extra	Description	Use Case
models-local	Local PyTorch models	GPU/CPU inference
models-remote	Remote model serving (Triton)	Production deployments
models-onnxruntime	ONNX Runtime acceleration	Optimized inference
models-vlm-inline	Vision Language Models	Image understanding, inline processing

Other features

Extra	Description	Use Case
feat-chunking	Document chunking	RAG applications
service-client	Docling service client	Remote processing

License

MIT License - See LICENSE