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Document Layout Analysis Example

Document Layout Analysis is used to identify and extract the layout structure of documents, including text blocks, images, tables, and other elements.

DocLayout-YOLO

Introduction

DocLayout-YOLO is a real-time and robust layout detection model for diverse documents, based on YOLO-v10. This model is enriched with diversified document pre-training and structural optimization tailored for layout detection.

Usage

  1. Import your image (Ctrl+I) or video (Ctrl+O) file into the X-AnyLabeling.
  2. Select and load the DocLayout-YOLO model.
  3. Initiate the process by clicking Run (i). Once you've verified that everything is set up correctly, use the keyboard shortcut Ctrl+M to process all images in one go.

PP-DocLayoutV3

Introduction

PP-DocLayoutV3 is specifically engineered to handle non-planar document images. It can directly predict multi-point bounding boxes for layout elements—as opposed to standard two-point boxes—and determine logical reading orders for skewed and curved surfaces within a single forward pass, significantly reducing cascading errors.

This model is an essential component of PaddleOCR-VL-1.5, providing crucial layout analysis for the high-precision parsing of various real-world documents.

Supported Labels

PP-DocLayoutV3 supports 25 layout element categories:

Category Labels
Document Structure doc_title, paragraph_title, header, footer, content, reference, reference_content
Text Elements text, vertical_text, aside_text, abstract, footnote, vision_footnote
Visual Elements image, chart, figure_title, header_image, footer_image, seal
Math & Formulas inline_formula, display_formula, formula_number, algorithm
Tables table
Other number

Installation

You'll need to get X-AnyLabeling-Server up and running first. Check out the installation guide for the details. Make sure you're running at least v0.0.7 of the server and v3.3.9 of the X-AnyLabeling client, otherwise you might run into compatibility issues.

Note

PP-DocLayoutV3 requires the latest transformers development branch. Install it with:

pip install --upgrade git+https://github.com/huggingface/transformers.git

For more details, see the official model page.

Once that's done, head over to configs/models.yaml and enable pp_doclayout_v3. There's an example config you can reference if you're not sure how to set it up.

You can tweak the settings in pp_doclayout_v3.yaml to fit your needs.

Usage

Launch the X-AnyLabeling client, press Ctrl+A or click the AI button in the left menu bar to open the auto-labeling panel. In the model dropdown list, select Remote-Server, then choose PP-DocLayoutV3.