Docowling

Docowling is a fork of the Docling, an IBM project, developed to enhance functionalities and add new document processing capabilities.

Why Docowling?

Like an owl watching for all prey, docowling is a fork intended to attack all types of documents.

Features

• 📄 Converts popular formats (CSV, PDF, DOCX, PPTX, XLSX, Images, HTML, AsciiDoc & Markdown) to HTML, Markdown and JSON with embedded/referenced images
• 🧩 Unified DoclingDocument format for standardized representation
• 🤖 Ready-to-use integrations with LangChain, LlamaIndex, Crew AI & Haystack
• 💻 Intuitive CLI for efficient batch processing with customizable export parameters

Coming Soon

• 📄 More formats compatibility
• 🤖 Optimize integrations with LangChain, Crew AI & Weaviate

Installation

To use Docowling, simply install docowling from your package manager, e.g. pip or uv:

pip install docowling

uv pip install docowling

Works on macOS, Linux and Windows environments. Both x86_64 and arm64 architectures.

Getting started

To convert individual documents, use convert(), for example:

from docowling.document_converter import DocumentConverter

source = "https://arxiv.org/pdf/2408.09869"  # document per local path or URL
converter = DocumentConverter()
result = converter.convert(source)
print(result.document.export_to_markdown())  # output: "## Docowling Technical Report[...]"

from docowling.document_converter import DocumentConverter

source = "/content/drive/MyDrive/TESLA.csv"  # document per local path or URL
converter = DocumentConverter()
result = converter.convert(source)
print(result.document.export_to_markdown())  
# output: "| Date     |      Open |      High [...]"

License

The Docowling codebase is under MIT license. For individual model usage, please refer to the model licenses found in the original packages.

IBM ❤️ Thanks

Thank you IBM for creating Docling, the base of Docowling.