What does layout-parser/layout-parser do?

Layout-parser este un framework de deep learning pentru parsarea layout-ului documentelor și analiza imaginilor. Oferă un toolkit pentru extragerea informațiilor structurale și a modelelor de layout din documente scanate și imagini digitale, transformându-le în structuri de date programatice pentru analiză automatizată.

What are the main features of layout-parser/layout-parser?

The main features of layout-parser/layout-parser are: Document Layout Analysis, Layout Parsing Toolkits, Document Analysis Models, Document Structure Analysis, Hierarchical Representations, Tabular Grid Mapping, Document Region Detectors, Table Structure Reconstructions.

What are some open-source alternatives to layout-parser/layout-parser?

Open-source alternatives to layout-parser/layout-parser include: kreuzberg-dev/kreuzberg — Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into… pymupdf/pymupdf — PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool,… grobidorg/grobid — Grobid is a machine learning system designed to transform academic and scientific PDF publications into structured… oomol-lab/pdf-craft — pdf-craft is an OCR-based document parser and structure extractor designed to convert PDF files into structured data,… funstory-ai/babeldoc — BabelDOC is a technical document translation system designed to translate PDF files while preserving their original… bytedance/dolphin — Dolphin is a multimodal layout analyzer and image-to-structure converter that transforms photographed or digital…

Layout Parser - extrage structurile de layout…

Layout Parser - extrage structurile de layout… | Awesome Repos

Features

Document Layout Analysis - Provides deep learning tools to identify complex structures and layout elements from document images.
Layout Parsing Toolkits - Provides a deep learning toolkit to detect and analyze structural elements within document images.
Document Analysis Models - Applies neural networks to detect and classify document components without relying on manual rules.
Document Structure Analysis - Extracts layout and text from images into specialized programmatic data structures for analysis.
Hierarchical Representations - Organizes detected document elements into a parent-child tree structure to preserve logical information flow.
Tabular Grid Mapping - Combines visual region detection with OCR to map textual content into structured tabular grids.
Document Region Detectors - Uses deep learning neural networks to identify and classify structural regions within document images.
Table Structure Reconstructions - Transforms tabular regions into machine-readable formats by reconstructing logical grids from visual elements.
Visual Structural Elements - Locates and identifies specific structural elements within document images using deep learning models.
Document Extraction Tools - Offers a library for parsing document images into programmatic data structures for downstream analysis.
Tabular Data Extraction - Converts tabular data from document images into machine-readable formats using layout detection and OCR.
Pixel Coordinate Mappings - Maps neural network bounding box outputs to normalized pixel coordinates for consistent document analysis.
Bounding Box Visualizers - Renders detection masks and bounding boxes over original images for manual verification of parsing accuracy.
OCR Layout Integration Pipelines - Combines layout detection with OCR in a pipeline to convert tabular regions into machine-readable data.
Parsing Verification Overlays - Renders detected layout elements and hierarchies visually to verify automated document parsing accuracy.
Layout Visualization Tools - Renders detected document elements and hierarchies visually to verify automated parsing accuracy.
Unified Model Wrappers - Standardizes different deep learning backends under a single API to allow swapping detection models seamlessly.
PDF Processing Tools - Deep learning-based tool for document layout analysis.

Alternative open-source pentru Layout Parser

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oomol-lab/pdf-craft
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Vezi toate cele 30 alternative pentru Layout Parser

Layout-Parserlayout-parser

Layout Parser

Features

Alternative open-source pentru Layout Parser

kreuzberg-dev/kreuzberg

grobidOrg/grobid

funstory-ai/BabelDOC

oomol-lab/pdf-craft

Frequently asked questions

Istoric stele

Frequently asked questions

Alternative open-source pentru Layout Parser

kreuzberg-dev/kreuzberg

grobidOrg/grobid

funstory-ai/BabelDOC

oomol-lab/pdf-craft