12 repositorios
Utilities that convert structured data into Markdown files for static site storage.
Distinct from JSON Serializers: Distinct from JSON Serializers: converts data into Markdown format rather than JSON.
Explore 12 awesome GitHub repositories matching data & databases · Markdown Serializers. Refine with filters or upvote what's useful.
Netlify CMS is a Git-based headless content management system designed for static sites. It provides a decoupled administration interface that allows users to edit markdown and JSON files stored in a version control repository without interacting directly with the code. The system functions as a version-controlled editor that leverages Git commits and branches to track changes and manage site deployments. It separates the backend data management from the frontend presentation layer, enabling content creation and modification through a user interface. The project covers content model definiti
Converts structured web form data into flat Markdown files for compatibility with static site generators.
ChatHub is a browser-based AI workspace and chatbot aggregator that provides a unified interface for interacting with multiple large language models. It functions as a multi-model AI client, allowing users to send a single prompt to several chatbots simultaneously and compare their responses side-by-side. The project distinguishes itself by acting as a cross-model response comparator that aggregates various web-based AI interfaces into a single view. It includes an AI prompt manager for storing and organizing reusable prompts to be used across different model sessions. The system covers a br
Converts AI conversation logs and prompt data into standardized markdown files for export.
Remark is a markdown processor and transformer that converts markdown text into a structured JSON abstract syntax tree for programmatic manipulation. It functions as a plugin-based tool within the unified ecosystem, allowing users to parse, transform, and stringify markdown content. The project is distinguished by its extensibility through a plugin system that supports custom markdown syntax extensions, the introduction of new markup elements, and the definition of custom processing logic. This framework enables the modification of content through a visitor-pattern traversal of the syntax tre
Provides the ability to translate between raw markdown strings and structured trees for non-destructive editing.
Autocut is a text-based video editor and automatic speech recognition tool. It allows users to cut and merge video clips by modifying a text transcript instead of using a traditional timeline. The system operates as an FFmpeg video processor and subtitle manipulation utility. It converts spoken audio into text and compacts subtitle files into simplified formats, enabling the removal of unwanted video segments by deleting corresponding sentences from a transcription file. The project covers automated video transcription, non-linear video cutting, and subtitle file management. It supports hard
Transforms standard subtitle files into simplified text structures to facilitate easier manual content removal.
DocTR is a deep learning OCR library built on PyTorch that detects and transcribes text in document images using a two-stage detection-recognition pipeline. It provides a complete framework for building and deploying OCR pipelines with pretrained models available through the Hugging Face Hub, and supports exporting trained models to ONNX format for cross-runtime deployment. The library offers end-to-end OCR pipelines that combine text detection and recognition to extract all text from document images or PDFs, with support for rotated page handling and varied text orientations. It includes cap
Synthesizes a visual representation of the original document from extracted text and layout data.
Pen es un editor visual de markdown WYSIWYG y una interfaz de edición en vivo que convierte patrones de markdown en elementos de texto enriquecido en tiempo real. Sirve como herramienta para la creación de contenido en markdown y para transformar el estado del editor en cadenas de markdown estándar para su exportación. El editor cuenta con una interfaz de texto personalizable con una barra de herramientas de formato para acciones de estilo de texto. Incluye sistemas para la gestión de hipervínculos y la conversión automática de secuencias de caracteres específicas en encabezados estructurados, listas, citas en bloque y bloques de código durante el proceso de entrada. El proyecto proporciona capacidades para la edición colaborativa en tiempo real, integración de editor de texto visual y control de acceso programático al editor para gestionar los derechos de modificación de los usuarios.
Provides utilities to convert the internal editor state into standardized markdown strings for export.
Liveblocks is a realtime collaboration infrastructure platform that synchronizes application state, documents, and user presence across multiple participants using conflict-free replicated data types. It provides a managed backend for collaborative text editors, threaded commenting and annotation systems, in-app notifications, and AI copilot deployment, all built on a WebSocket transport layer with server-side room management APIs. The platform distinguishes itself through a headless component primitive system that exposes unstyled React hooks and composable building blocks, allowing develope
Returns Markdown string representations of ProseMirror documents using configurable serializers.
Autosub es un procesador de medios por línea de comandos y generador automático de subtítulos que convierte flujos de audio de archivos de video y audio en superposiciones de texto temporizadas. Funciona como un conversor de voz a texto basado en IA que utiliza OpenAI Whisper para generar subtítulos sincronizados. La herramienta incluye un pipeline de traducción de idiomas para convertir el habla transcrita a otros idiomas, permitiendo el subtitulado multilingüe de videos. Gestiona todo el proceso, desde la extracción del flujo de audio hasta la serialización de los archivos de subtítulos finales para su almacenamiento local. El sistema cubre la transcripción de audio a texto, el mapeo de texto con marcas de tiempo y el procesamiento de medios basado en terminal.
Serializes final timed text and translation data into standard subtitle file formats for local storage.
This project is a Model Context Protocol server that acts as an AI workspace connector, bridging large language models to Notion via its REST API. It provides a secure interface for AI assistants to read, write, and manipulate workspace pages, databases, and users. The server utilizes token-efficient markdown serialization to retrieve and update page content, reducing the amount of data processed by language models. It supports multi-user OAuth authentication, allowing the management of multiple Notion accounts within a single deployment by handling authentication tokens on a per-request basi
Converts complex Notion block data into token-efficient markdown to reduce the data volume processed by language models.
This project is a React-based rich text editor designed for authoring and managing markdown documents through a visual interface. It functions as a modular framework that renders markdown in real-time, allowing users to create structured content without manual syntax entry. The editor is built on a plugin-based architecture that enables developers to extend functionality while maintaining minimal application bundle sizes. It provides a comprehensive command interface for programmatic content manipulation and utilizes reactive state management to ensure the visual editing surface remains synch
Parses markdown into an abstract syntax tree and serializes editor nodes to maintain consistent data representation.
FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut
Serializes graph results into JSON and applies text normalization to optimize token consumption for LLMs.
Pix2Text is an optical character recognition system and document conversion tool designed to transform images and PDFs into Markdown. It functions as a multilingual OCR engine supporting over 80 languages, a LaTeX formula recognizer for mathematical notations, and a parser integrated with vision language models. The project utilizes a hybrid pipeline to separate plain text from mathematical formulas and tabular structures within a single pass. It converts recognized formulas into LaTeX expressions and transforms detected tables and layouts into structured Markdown formatting. The system incl
Transforms recognized layout, tables, and formulas into a structured Markdown format for document reconstruction.