Showing 13 open source projects for "text extract"

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  • 1
    PdfPig

    PdfPig

    Read and extract text and other content from PDFs in C#

    This project allows users to read and extract text and other content from PDF files. In addition the library can be used to create simple PDF documents containing text and geometrical shapes.
    Downloads: 3 This Week
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  • 2
    PyPDF

    PyPDF

    A pure-python PDF library capable of splitting, merging, cropping

    pypdf is a pure Python library for working with PDF files, allowing developers to split, merge, rotate, encrypt, and extract content from PDFs. It’s an actively maintained fork of PyPDF2, improving performance, compatibility, and support for modern PDF standards. Suitable for both automation scripts and full-featured applications, pypdf handles PDFs without requiring external dependencies.
    Downloads: 27 This Week
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  • 3
    Ksoup

    Ksoup

    Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML

    Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML, extracting HTML tags, attributes, and text, and encoding and decoding HTML entities. ​
    Downloads: 0 This Week
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  • 4
    refactoring.nvim

    refactoring.nvim

    The Refactoring library based off the Refactoring book

    refactoring.nvim is a Neovim plugin developed to bring powerful automated code refactoring capabilities to one of the most popular text editors among programmers, giving developers a suite of refactoring operations that streamline repetitive restructuring tasks inside the editor. Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. ...
    Downloads: 0 This Week
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  • 5
    Article Extractor

    Article Extractor

    To extract main article from given URL with Node.js

    A Node.js library for extracting main content from web articles, removing unnecessary clutter like ads and navigation elements.
    Downloads: 0 This Week
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  • 6
    unipdf

    unipdf

    Golang PDF library for creating and processing PDF files (pure go)

    UniDoc UniPDF is a PDF library for Go (golang) with capabilities for creating and reading, processing PDF files. The library is written and supported by FoxyUtils.com, where the library is used to power many of its services. Every release of our libraries is automatically tested against known vulnerabilities and do not pass unless everything is remediated. All changes are carefully reviewed by our team.
    Downloads: 0 This Week
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  • 7
    LangExtract

    LangExtract

    A Python library for extracting structured information

    LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. ...
    Downloads: 1 This Week
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  • 8
    jsoup

    jsoup

    Java library for working with real-world HTML

    jsoup is a Java library for working with real-world HTML. It provides a very convenient API for fetching URLs and extracting and manipulating data, using the best of HTML5 DOM methods and CSS selectors. jsoup implements the WHATWG HTML5 specification, and parses HTML to the same DOM as modern browsers do. jsoup is designed to deal with all varieties of HTML found in the wild; from pristine and validating, to invalid tag-soup; jsoup will create a sensible parse tree. The parser will make...
    Downloads: 1 This Week
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  • 9
    DocWire SDK

    DocWire SDK

    Award-winning modern data processing SDK in C++20

    DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. ...
    Downloads: 3 This Week
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  • 10
    blind-watermark

    blind-watermark

    Blind&Invisible Watermark, image blind watermark, extract watermark

    Blind Watermark is a Python library for embedding hidden information inside images and recovering it without the original source image. It uses a DWT-DCT-SVD signal-processing pipeline to place watermarks with minimal visible change. Watermarks can contain text or raw bit arrays and may be protected with separate image and watermark passwords. The package provides both a Python API and command-line interface for embedding and extraction. Its examples evaluate recovery after rotation,...
    Downloads: 5 This Week
    Last Update:
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  • 11
    cnn-text-classification-tf

    cnn-text-classification-tf

    Convolutional Neural Network for Text Classification in Tensorflow

    The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. ...
    Downloads: 0 This Week
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  • 12
    Deeplearning-papernotes

    Deeplearning-papernotes

    Summaries and notes on Deep Learning research papers

    Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ...
    Downloads: 0 This Week
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  • 13
    chemfiles

    chemfiles

    Modern library for chemistry file reading and writing

    Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with...
    Downloads: 0 This Week
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