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13 个仓库

Awesome GitHub RepositoriesSelective Text Processors

Tools that allow users to apply formatting or transformations to specific highlighted segments of text rather than the entire document.

Explore 13 awesome GitHub repositories matching data & databases · Selective Text Processors. Refine with filters or upvote what's useful.

Awesome Selective Text Processors GitHub Repositories

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  • adam-p/markdown-hereadam-p 的头像

    adam-p/markdown-here

    60,218在 GitHub 上查看↗

    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.

    JavaScript
    在 GitHub 上查看↗60,218
  • textmate/textmatetextmate 的头像

    textmate/textmate

    14,783在 GitHub 上查看↗

    TextMate is a programmable text editor designed for software development and project management. It functions as a highly customizable environment where users can define language-specific behaviors, syntax highlighting rules, and automated workflows to suit their individual development needs. The editor distinguishes itself through a modular, bundle-based extensibility model that allows for deep integration with system shell commands. By piping document buffers through external scripts and command-line tools, users can perform complex text transformations, automate file lifecycle tasks, and b

    Allows swapping or cycling the order of characters, words, or lines within a selection.

    Objective-C++c-plus-pluscocoamacos
    在 GitHub 上查看↗14,783
  • automattic/harperAutomattic 的头像

    Automattic/harper

    10,890在 GitHub 上查看↗

    Harper is a local English linter and grammar checker designed as an IDE writing assistant. It operates as a language server that provides real-time spelling and grammar analysis for markdown and code comments, processing all linguistic data on the local device to ensure privacy and eliminate cloud dependencies. The tool is specialized for technical documentation, featuring the ability to identify and ignore text within code fences and inline blocks to prevent false positives. It allows for personalized configuration through custom dictionaries and the use of suppression comments to exclude sp

    Disables grammar checking for selected sections of text through the use of specific comments within the document.

    Rustchrome-extensiondeveloper-toolsenglish-language
    在 GitHub 上查看↗10,890
  • josstorer/chatgptboxjosStorer 的头像

    josStorer/chatGPTBox

    10,738在 GitHub 上查看↗

    chatGPTBox is a browser extension that integrates large language model chat interfaces and AI tools directly into the web browsing experience. It functions as an AI productivity toolkit and API client, allowing users to access AI assistants via a floating chat interface without leaving their active webpage. The project distinguishes itself by offering context-aware assistance and website-specific adaptations based on the current URL. It further enhances the browsing experience by displaying AI-generated responses alongside standard search engine results and providing a system to route chat re

    Allows users to perform AI-powered translation, polishing, and code explanation on highlighted text.

    JavaScript
    在 GitHub 上查看↗10,738
  • mengxi-ream/read-frogmengxi-ream 的头像

    mengxi-ream/read-frog

    8,099在 GitHub 上查看↗

    Read Frog is an AI-powered immersive translation browser extension that functions as a bilingual reading assistant and text explanation tool. It connects to over 20 AI providers, including OpenAI and Anthropic, with configurable endpoints, API keys, and model settings, enabling translation and explanation of web content directly in the browser. The extension distinguishes itself through several integrated capabilities. It translates webpage content by placing translations directly next to the original text for side-by-side comparison, and can process content from PDFs, videos, and comics. It

    Explains words, phrases, and sentences at a difficulty matching the reader's language proficiency level.

    TypeScriptbrowser-extensionchinesechrome-extension
    在 GitHub 上查看↗8,099
  • logancyang/obsidian-copilotlogancyang 的头像

    logancyang/obsidian-copilot

    6,211在 GitHub 上查看↗

    Obsidian Copilot is an AI assistant plugin for Obsidian that brings conversational AI directly into your note-taking vault. It allows you to chat with multiple large language models, create and execute custom prompts, and edit notes through natural conversation, all without leaving your workspace. The plugin distinguishes itself by offering complete model flexibility, supporting OpenAI, Anthropic, Google, local, and self-hosted models with no vendor lock-in. It stores all chat history, system prompts, and custom commands as plain Markdown files in your vault, ensuring full data ownership and

    Applies AI-driven transformations like summarization and rewriting to selected text.

    TypeScriptaiaiagentchatgpt
    在 GitHub 上查看↗6,211
  • aaronwangy/data-science-cheatsheetaaronwangy 的头像

    aaronwangy/Data-Science-Cheatsheet

    5,422在 GitHub 上查看↗

    该项目是一个数据科学参考表和机器学习学习指南。它提供了一个精选的公式、定义和模型摘要集合,专为项目开发和技术面试准备期间的快速查找而设计。 该资源以静态 PDF 教育资源形式提供。它将复杂的各种技术框架和理论机器学习概念组织成便携的固定布局文档,以确保在不同设备上具有一致的视觉呈现。 内容涵盖了机器学习概念参考和数据科学知识综合,专门针对考试复习和理论框架的综合而定制。

    Organizes theoretical machine learning concepts into discrete categories for targeted information retrieval and structured study.

    TeXcheatsheetdata-sciencemachine-learning
    在 GitHub 上查看↗5,422
  • unlayer/react-email-editorunlayer 的头像

    unlayer/react-email-editor

    5,086在 GitHub 上查看↗

    React Email Editor is a drag-and-drop visual builder for creating responsive email templates, built as a React embeddable component. It also serves as an AI-powered email designer, a collaborative email design tool, and a React component library for composing emails programmatically with JSX. The editor represents designs as structured JSON and supports multi-format rendering for email clients, web pages, and PDF. What distinguishes this editor is its deep AI integration: users can generate full email templates from natural language, rewrite text with chosen intent, produce multiple text vari

    Generates real-time AI suggestions for refining text, buttons, headings, and image alt text during editing.

    TypeScriptbuilderdrag-and-dropemail
    在 GitHub 上查看↗5,086
  • idea-ccnl/fengshenbang-lmIDEA-CCNL 的头像

    IDEA-CCNL/Fengshenbang-LM

    4,128在 GitHub 上查看↗

    Fengshenbang-LM 是一个中文语言模型生态系统和预训练框架,专为开发和微调十亿参数级大语言模型而设计。它作为一个自然语言处理流水线和跨模态 AI 平台,能够生成跨模态内容,包括文生图和蛋白质结构预测。 该项目提供了一个特定领域模型适配器,用于将预训练模型应用于医疗、金融和法律等专业行业。它利用分布式配置系统和数据分片来管理跨多个计算节点的大规模模型训练。 该框架涵盖了广泛的功能,包括中文自然语言处理、自动文本转换和多模态内容生成。它还支持翻译、编程和文本分类等通用语言任务。 下游预测和微调工作流通过命令行界面进行管理和执行。

    Uses AI to transform source text into different formats for translation and summarization.

    Pythonaigcchinese-nlpdistributed-training
    在 GitHub 上查看↗4,128
  • beingpax/voiceinkBeingpax 的头像

    Beingpax/VoiceInk

    3,859在 GitHub 上查看↗

    VoiceInk is a system-wide speech-to-text dictation tool that converts spoken audio into text using local or cloud AI models. It functions as a local AI transcription engine and a context-aware voice assistant, allowing users to insert transcribed text directly into any active application on the operating system. The project distinguishes itself through the use of custom vocabulary management, which trains transcription engines to recognize industry-specific technical terms, professional terminology, and personal names. It further enhances output by using large language models to refine raw tr

    Uses large language models to polish rough voice transcriptions into professional emails, chats, or social posts.

    Swiftmacosmacos-appswift
    在 GitHub 上查看↗3,859
  • qiuyannnn/local-file-organizerQiuYannnn 的头像

    QiuYannnn/Local-File-Organizer

    3,132在 GitHub 上查看↗

    Local-File-Organizer is a local-first file classification system that uses on-device machine learning models to categorize documents and media into structured directories. It functions as an automated file classifier and asset manager that leverages local inference to sort files based on content, meaning, and metadata. The project emphasizes privacy by performing all data processing and analysis on the local device, eliminating the need to send sensitive files to external cloud services. It utilizes local models to analyze text and image content to generate descriptive filenames and thematic

    Analyzes text content to generate summaries and thematic categories for automatic file organization.

    Pythonfile-organizerllama3llm
    在 GitHub 上查看↗3,132
  • zlwaterfield/scramblezlwaterfield 的头像

    zlwaterfield/scramble

    1,670在 GitHub 上查看↗

    Scramble is an artificial intelligence-powered browser extension designed to assist with text processing, editing, and writing directly within web pages. It functions as a text editor that allows users to highlight content on any webpage and transform it through summarization, correction, or rewriting. The tool distinguishes itself by providing a provider-agnostic abstraction layer, enabling users to connect to various local or cloud-based language models by configuring their own authentication keys and endpoints. It supports custom prompt engineering, allowing users to define and save person

    Processes highlighted web content through selected prompts to rewrite, summarize, or format text.

    JavaScript
    在 GitHub 上查看↗1,670
  • milanlproc/contextualized-topic-modelsMilaNLProc 的头像

    MilaNLProc/contextualized-topic-models

    1,271在 GitHub 上查看↗

    Contextualized topic modeling is a framework that integrates deep learning architectures with statistical word frequency distributions to extract coherent themes from large document collections. By combining pre-trained transformer-based embeddings with variational inference, the system identifies hidden patterns in text while maintaining the interpretability of traditional generative models. The library distinguishes itself by mapping diverse languages into a shared semantic space, enabling topic discovery and classification across multilingual datasets without requiring language-specific tr

    Identifies hidden patterns and coherent topics by combining contextual embeddings with statistical modeling.

    Pythonbertembeddingsmultilingual-models
    在 GitHub 上查看↗1,271
  1. Home
  2. Data & Databases
  3. Text Processing Utilities
  4. Text Processing Tools
  5. Selective Text Processors

探索子标签

  • AI Text Transformers2 个子标签Tools that use AI to translate, polish, or explain specific highlighted segments of text. **Distinct from Selective Text Processors:** Focuses on AI-driven transformation (translation, explanation) of selected text, whereas Selective Text Processors are generic formatting tools.
  • Linguistic Analysis ExclusionsThe ability to disable grammar or spelling checks for specific segments of a document. **Distinct from Selective Text Processors:** Focuses on excluding text from a linguistic checker rather than applying text transformations.
  • Text Transposition UtilitiesTools for swapping or cycling the order of text elements within a selection. **Distinct from Selective Text Processors:** Distinct from Selective Text Processors: focuses on reordering/swapping elements rather than general formatting transformations.