Document Layout Analysis Example

July 19, 2026 · View on GitHub

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

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

Import images (Ctrl+I) or a video (Ctrl+O) into X-AnyLabeling.
Select and load the DocLayout-YOLO model.
Click Run (i) to process the current image. After checking the result, press Ctrl+B to process all images.

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.