#192 · Primary category： Computer Vision
layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis
Project last updated：08/15/24
GitHub Stars
5.8K
Forks
532
Contributors
9
License
Apache-2.0
Why we included this project
Turning a pile of scanned pages into structured data usually means writing one-off layout rules that break the moment a new template shows up. LayoutParser takes a different route: a thin Python wrapper around pretrained deep-learning detectors that spot text blocks, figures, and tables in a few lines of code. The same API handles OCR integration and lets you filter or rearrange the detected regions, so pulling just the left column off a two-column page is a few operations rather than a custom script, and results can feed downstream tools as JSON, CSV, or COCO. When your documents look nothing like the public datasets, you can fine-tune the detectors on your own pages. Teams that process documents regularly get a single, composable workflow instead of a grab bag of models.
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