Textrich

Textrich is a hypothetical open-source library designed to extend text generation with structured metadata and multi-format rendering. It aims to help developers, writers, and content teams produce text content that is both human-readable and machine-processable. The project emphasizes separation of content from presentation and relies on a schema-based model to attach metadata such as intent, sources, and citations to blocks of text.

Core features include a natural language generation pipeline, a templating layer, and format exporters. It supports exporting to HTML, LaTeX, and Markdown, and can embed semantic annotations for downstream indexing. The system includes a plugin ecosystem for tasks such as tokenization, entity recognition, citation management, and multilingual support. It can be integrated with AI providers through a simple API and supports batch processing and streaming.

Textrich architecture comprises a core engine, a data model for text blocks and metadata, a renderer subsystem, and an extensible plugin framework. Text is represented as a hierarchical document graph with nodes for sections, paragraphs, quotes, and metadata. The renderer traverses the graph to produce the target format, preserving structure and annotations.

Historically, Textrich emerged from discussions around bridging NLG with rigorous content management. It has seen limited but steady adoption among academic and technical writing teams that value traceable provenance and format-agnostic content. It is distributed under an OSI-approved license and maintained by an international contributor community with ongoing development and documentation.