2 repositorios
Awesome GitHub RepositoriesDocument Segmentation
Techniques for decomposing images into hierarchical text structures like lines and characters.
Explore 2 awesome GitHub repositories matching graphics & multimedia · Document Segmentation. Refine with filters or upvote what's useful.
Awesome Document Segmentation GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- tesseract-ocr/tesseract
tesseract-ocr/tesseract
74,751Ver en GitHubTesseract is a neural network-based optical character recognition engine designed to convert scanned images and digital documents into machine-readable, searchable text. It functions as both a command-line utility for automating large-scale digitization workflows and a cross-platform library that can be embedded into desktop, mobile, or server-side applications. By utilizing long short-term memory networks, the engine provides robust text extraction across more than one hundred languages and dozens of scripts. The project distinguishes itself through a sophisticated document layout analysis f
Decomposes visual documents into hierarchical structures, including text blocks, lines, and individual characters.
C++hacktoberfestlstmmachine-learning - datalab-to/surya
datalab-to/surya
20,889Ver en GitHubSurya is a document processing platform designed to transform unstructured files into structured, machine-readable data. It provides a comprehensive suite of tools for text recognition, layout analysis, and reading order detection, enabling the conversion of PDFs and images into formats such as JSON, HTML, or markdown. The platform is built to handle complex document workflows, offering capabilities for data extraction, document segmentation, and automated form completion. The platform distinguishes itself through a robust pipeline-based architecture that allows users to chain analysis tasks
Identifies and isolates distinct sections within documents to improve data extraction accuracy.
Python
