LayoutParser: Unified Open-Source Toolkit for Document Image Analysis

Fri, 01 May 2026 00:00:00 +0000

If you have ever tried to extract structured information from a scanned PDF, a historical newspaper archive, or a stack of invoices, you know the pain: every document looks different, every model expects a different input format, and every OCR engine spits out text in a different coordinate system. LayoutParser was built to end that chaos.

Developed by the Layout-Parser team, this open-source deep learning toolkit provides a unified interface for document image analysis tasks including layout detection, OCR integration, and visual information extraction. With over 4,000 GitHub stars, LayoutParser has become the go-to library for researchers and practitioners who need to turn document images into structured, machine-readable data.

RapidLayout: Open-Source Document Layout Analysis for Chinese and English

Fri, 01 May 2026 00:00:00 +0000

Document layout analysis is the critical first step in any document understanding pipeline. Before OCR can extract text, before tables can be parsed, and before content can be classified, the system needs to understand where things are on the page. RapidLayout, an open-source library from the RapidAI team, tackles exactly this challenge with a focus on both Chinese and English document content.

Developed as part of the broader RapidAI ecosystem – which includes OCR engines, table recognition tools, and text detection models – RapidLayout provides a modular, backend-agnostic approach to layout analysis. Rather than locking users into a single inference framework, it supports OnnxRuntime, OpenVINO, and specialized CPU and GPU C++ runtimes, making it suitable for everything from edge devices to server deployments.

Layout Detection on SoloSoft

LayoutParser: Unified Open-Source Toolkit for Document Image Analysis

RapidLayout: Open-Source Document Layout Analysis for Chinese and English