kreuzberg 4.3.5

High-performance document intelligence library for Python. Extract text, metadata, and structured data from PDFs, Office documents, images, and 75+ formats. Powered by Rust core for 10-50x speed improvements.

Stars: 6036, Watchers: 6036, Forks: 262, Open Issues: 12

The kreuzberg-dev/kreuzberg repo was created 1 years ago and the last code push was 8 hours ago.
The project is extremely popular with a mindblowing 6036 github stars!

How to Install kreuzberg

You can install kreuzberg using pip

pip install kreuzberg

or add it to a project with poetry

poetry add kreuzberg

Package Details

Author

None

License

MIT

Homepage

https://kreuzberg-dev.github.io/kreuzberg/

PyPi:

https://pypi.org/project/kreuzberg/

Documentation:

https://kreuzberg.dev

GitHub Repo:

https://github.com/kreuzberg-dev/kreuzberg

Classifiers

• Office/Business
• Scientific/Engineering/Information Analysis
• Software Development/Libraries/Python Modules
• Text Processing
• Text Processing/Filters
• Text Processing/General

Related Packages

Errors

A list of common kreuzberg errors.

Code Examples

Here are some kreuzberg code examples and snippets.

GitHub Issues

The kreuzberg package has 12 open issues on GitHub

• feat: Add EasyOCR/Paddle OCR backends to docker image
• feat: Add Ruby windows support

See more issues on GitHub