Quick Start

Once the PDF-Extract-Kit environment is set up and the models are downloaded, we can start using PDF-Extract-Kit.

Layout Detection Example

Layout detection offers several models: LayoutLMv3, YOLOv10, and DocLayout-YOLO. Compared to LayoutLMv3, YOLOv10 is faster. DocLayout-YOLO is based on YOLOv10 and includes diverse document pre-training and model optimization, offering both speed and high accuracy.

1. Using Layout Detection Models

$ python scripts/layout_detection.py --config configs/layout_detection.yaml

After execution, we can view the detection results in the outputs/layout_detection directory.

Note

The layout_detection.yaml file sets the input, output, and model configuration. For a more detailed tutorial on layout detection, see Layout Detection Algorithm.

Formula Detection Example

$ python scripts/formula_detection.py --config configs/formula_detection.yaml

After execution, we can view the detection results in the outputs/formula_detection directory.

Note

The formula_detection.yaml file sets the input, output, and model configuration. For a more detailed tutorial on formula detection, see Formula Detection Algorithm.