Metadata-Version: 2.4
Name: cells2table
Version: 0.5.1
Summary: Table image parsing with cell detection models
Keywords: docling,plugin
Author: jspast
Author-email: jspast <140563347+jspast@users.noreply.github.com>
License-Expression: MIT
License-File: LICENSE
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Dist: numpy>=2.2.0,<3.0.0
Requires-Dist: huggingface-hub>=0.36.0,<2.0.0 ; extra == 'huggingface'
Requires-Dist: onnxruntime>=1.23.2,<2.0.0 ; extra == 'onnxruntime'
Requires-Dist: opencv-python>=5.0.0.0,<6.0.0.0 ; extra == 'opencv'
Requires-Dist: opencv-python-headless>=5.0.0.0,<6.0.0.0 ; extra == 'opencv-headless'
Requires-Dist: transformers>=5.8.1,<6.0.0 ; extra == 'transformers'
Requires-Python: >=3.12, <4.0
Project-URL: Homepage, https://github.com/jspast/cells2table
Project-URL: Issues, https://github.com/jspast/cells2table/issues
Provides-Extra: huggingface
Provides-Extra: onnxruntime
Provides-Extra: opencv
Provides-Extra: opencv-headless
Provides-Extra: transformers
Description-Content-Type: text/markdown

# cells2table

Efficient pipelines and models for document AI, with Docling support via plugins.

## Instalation

With [uv](https://docs.astral.sh/uv/), add to your project using:

``` sh
uv add cells2table
```

### Extras

| Optional          | Description                       |
| ----------------- | --------------------------------- |
| `huggingface`     | For downloading models from HF    |
| `onnxruntime`     | For using ONNX Runtime as runtime |
| `transformers`    | For using transformers as runtime |
| `opencv-headless` | For using ONNX models             |
| `opencv`          | For using ONNX models and the CLI |

## Usage

Check the [documentation](https://jspast.github.io/cells2table/).
