SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
Docowling is a fork of the Docling, an IBM project, developed to enhance functionalities and add new document processing capabilities.
Like an owl watching for all prey, docowling is a fork intended to attack all types of documents.
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.
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 [...]"
The Docowling codebase is under MIT license. For individual model usage, please refer to the model licenses found in the original packages.
Thank you IBM for creating Docling, the base of Docowling.
FAQs
SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
We found that docowling demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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