209 Repos
Libraries and tools specifically designed for extracting, inspecting, and manipulating textual data.
Explore 209 awesome GitHub repositories matching data & databases · Text Processing Utilities. Refine with filters or upvote what's useful.
This project is a comprehensive, curated directory of high-quality libraries, tools, and educational resources for C and C++ development. It serves as an ecosystem discovery index, helping developers navigate the vast landscape of third-party components, frameworks, and technical documentation available for the language. The collection is distinguished by its focus on high-performance systems programming and technical mastery. It provides deep coverage of specialized domains including SIMD-accelerated data processing, compile-time template metaprogramming, and asynchronous event-driven archit
Extract patterns from raw text data by leveraging these regex-driven parsing utilities.
Open Interpreter is an autonomous agent runtime that translates natural language instructions into executable code to interact with local software and operating systems. It functions as an orchestration framework that connects language models to a secure execution environment, enabling the development of agents capable of managing system resources and performing complex tasks. To ensure safety, the system mandates explicit user verification before executing any generated code and provides robust isolation through containerized sandboxing. The project distinguishes itself through its deep inte
Grabs text currently highlighted by the user within the operating system to facilitate immediate analysis or processing.
FFmpeg is a cross-platform multimedia framework designed for the recording, conversion, and streaming of audio and video content. It functions as a comprehensive toolkit that provides both a command-line utility for direct media manipulation and a collection of low-level libraries for integration into custom applications. At its core, the project utilizes a packet-based stream engine and a format-agnostic abstraction layer to handle diverse media standards, containers, and network protocols. The framework distinguishes itself through a modular, graph-based filter execution model that allows f
Isolates and plays a specific byte-range segment from a larger file or stream without modifying the source.
Markdown Here is a browser extension that enables rich text composition within web-based editors that lack native formatting support. By transforming plain text markdown syntax into rendered HTML, it allows users to draft professional emails and documents using standard markup, including headers, tables, and footnotes, directly inside their browser. The tool distinguishes itself through a bidirectional transformation engine that supports both the conversion of markdown to HTML and the reversion of rendered content back into its original source code. This state-preserving functionality allows
Highlighted segments of text are isolated for selective transformation or reversion within a larger document.
This project is a command-line text viewer designed to enhance terminal output through automatic syntax highlighting and integrated file management. It functions as a replacement for standard system pagers, providing a readable interface for large text streams, source code, and markup files by applying color-coded formatting directly to the terminal output. The utility distinguishes itself through deep integration with version control systems, allowing users to inspect repository status and historical file changes with visual markers displayed in the output margin. It employs heuristic-based
Visualizes non-printable control characters to help identify formatting inconsistencies in raw text streams.
Marktext is a cross-platform desktop application designed for markdown document authoring and structured note-taking. It functions as a WYSIWYG text processor, providing a distraction-free interface that renders formatted content in real-time while hiding the underlying markup syntax. The application utilizes a multi-process architecture that separates system integration from the user interface, ensuring consistent performance across Windows, macOS, and Linux. By employing a custom editor core built on native browser capabilities and a structured syntax tree, it manages complex document eleme
Hides underlying markdown syntax behind a seamless, formatted text editing interface.
Rich is a comprehensive library for building sophisticated command-line interfaces and terminal applications. It provides a robust console formatting engine and a layout framework that enables developers to render rich text, syntax-highlighted code, and complex data structures directly in the terminal. By utilizing a recursive constraint-based layout engine, the library allows for the creation of hierarchical grids, panels, and trees that maintain their structure even as terminal dimensions change. What distinguishes the library is its ability to manage persistent, real-time terminal interfac
Interprets bracketed markup to convert plain text into styled, colorful console output.
Pretext is a canvas-based text layout engine designed to calculate precise text dimensions and line breaks for custom rendering. It serves as a rich text measurement tool and a cross-browser typography normalizer, enabling the determination of pixel-perfect widths and heights for mixed inline content without relying on browser CSS. The project distinguishes itself through its ability to handle complex typography and dynamic layouts. It implements language-specific segmentation rules for CJK and Hangul scripts and corrects emoji width variances between DOM and canvas rendering. Additionally, i
Processes language-specific line-breaking rules for CJK and Hangul scripts to ensure correct visual segmentation.
This project is a Chinese text segmentation library and tokenizer designed to split Chinese sentences into individual words. It serves as a natural language processing tool for splitting characters into words, tagging parts of speech, and extracting keywords using statistical analysis. The library distinguishes itself through support for custom dictionary configuration and vocabulary file management, allowing users to override default segmentation rules for domain-specific accuracy. It also includes a TF-IDF keyword extractor to identify significant words and core topics within documents. Th
Provides a comprehensive library for splitting Chinese sentences into individual words using statistical analysis.
spaCy is a Python natural language processing framework designed for industrial-scale text processing. It converts raw text into structured data for machine learning pipelines through a combination of statistical language model trainers, transformer-based text processors, and syntactic dependency parsers. The project enables the integration of pretrained transformer architectures to perform complex linguistic analysis and multi-task learning. It also provides a specialized system for neural named entity recognition to identify and categorize key entities within text. The framework covers a b
Includes rule-based tokenization and sentence segmentation to break raw text into discrete linguistic units.
This project is a privacy-focused, self-hosted metasearch engine that aggregates results from a wide array of web, academic, and media sources into a single, unified interface. By acting as a proxy between the user and external search providers, it strips identifying headers and tracking parameters from requests, ensuring that search activity remains anonymous and protected from third-party profiling. The platform distinguishes itself through a modular, plugin-based architecture that allows for extensive customization of search behavior, result filtering, and interface branding. It supports a
Parses and cleans raw HTML or Markdown strings to isolate readable text for indexing.
This project is an educational platform and research toolkit designed to teach deep learning through a combination of mathematical theory, visual diagrams, and executable code. It provides a comprehensive environment for building, training, and evaluating neural networks, grounding complex concepts in interactive computational notebooks that allow for hands-on experimentation. The framework distinguishes itself by interleaving theoretical foundations—including linear algebra, calculus, and probability—with practical implementations across multiple industry-standard libraries. It supports flex
Identifies start and end positions of answers within passages by predicting token-level probabilities.
This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services
Divides continuous text streams into sentence-based segments for incremental processing.
Wox is a keyboard-driven command interface designed to centralize desktop productivity, system navigation, and workflow automation. It functions as a launcher that enables users to open applications, manage files, and execute system commands through a unified, text-based overlay. By integrating a modular plugin framework, the application allows for the expansion of its core capabilities to include specialized search providers and custom system utilities. The platform distinguishes itself through the integration of language models, which enable natural language search and the automation of tex
Enables processing and searching of text currently selected in other active applications.
This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin
Visualizes non-printing characters to help identify formatting inconsistencies.
Kotaemon is an orchestration framework designed for building modular, agentic workflows that integrate document processing, retrieval-augmented generation, and multi-step reasoning. It provides a comprehensive platform for developing document-based question answering systems, allowing users to chain language models, prompt templates, and external tools into complex, automated pipelines. The system distinguishes itself through a highly modular architecture that emphasizes component-based composition and schema-driven data exchange. It supports autonomous agents capable of decomposing complex q
Captures specific document content using regular expression patterns and mapping dictionaries.
openai-translator is a cross-platform translation tool and language learning utility available as a browser extension and desktop application. It functions as a client for large language model APIs to translate, summarize, and polish text across different digital environments. The project differentiates itself by integrating optical character recognition to translate text extracted from images and screenshots. It also includes a language learning workflow that allows users to save new vocabulary to a digital book and use text-to-speech synthesis for pronunciation. The tool provides broad tex
Improves grammar and professional flow of selected text using AI-driven refinement pipelines.
Nextai-translator is an AI-powered text processor and cross-platform translation application. Available as a desktop app and browser extension, it uses large language model APIs to translate, summarize, and refine multilingual content in real time. The tool integrates with clipboard managers and text selection utilities to trigger automated translations immediately after content is copied or highlighted. It also functions as an OCR translation utility, extracting and translating text from screenshots and non-selectable image content. Additional capabilities include a vocabulary management sy
Provides automated workflows for translating, polishing, and summarizing multilingual text using AI.
Graphite is a node-based visual design environment that integrates vector illustration, raster image processing, and motion graphics generation into a single platform. It utilizes a functional reactive pipeline and a data-flow execution model to propagate state changes through a graph of interconnected nodes, allowing users to construct complex, automated design workflows. The platform distinguishes itself through a context-aware evaluation engine that injects runtime metadata—such as coordinate data and loop indices—directly into the node graph. This enables the creation of procedural geomet
Performs text manipulation including concatenation, splitting, and regex matching for dynamic text generation.
Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob
Strips markup tags from web pages to return raw text content for easier processing.