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  • License MIT

Miniparse is a work-in-progress sophisticated and extensible NLP library for comprehensive text processing, tokenization, and analysis.

Package Exports

  • dd-miniparse
  • dd-miniparse/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (dd-miniparse) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Miniparse

NPM downloads TypeScript License: MIT

Miniparse is a sophisticated and extensible NLP library for comprehensive text processing, tokenization, and analysis. It offers a modular pipeline, advanced YAML configuration, and powerful LLM integration with Google Gemini.

IMPORTANT: This library is currently a work in progress. Users should expect:

  • Potential bugs and stability issues.
  • API changes between versions.
  • Performance concerns with large datasets.
  • Incomplete documentation for newer features.
  • Experimental features that may not be ready for production.

Table of Contents

Quick Start

To get started with Miniparse, create a new project and install the necessary packages:

mkdir my-miniparse-app
cd my-miniparse-app
npm init -y
npm install dd-miniparse @google/generative-ai

You can then import and use Miniparse in your application. For detailed usage examples, please refer to the Usage Examples documentation.

Install

To install Miniparse in an existing project:

npm i dd-miniparse @google/generative-ai

Core Features

  • Comprehensive Text Processing: Includes tokenization, normalization, and advanced analysis capabilities.
  • Highly Configurable: Utilizes a flexible YAML-based system for extensive customization.
  • Performance-Oriented: Designed for efficient string parsing with minimal computational overhead.
  • Speech Analysis: Tools to identify filler words, repetitions, and stutters in transcribed text.
  • Modular Pipeline Architecture: Supports an extensible processing pipeline with various processor types.
  • Full TypeScript Support: Provides detailed type definitions for an enhanced development experience.
  • LLM Integration: Built-in support for Google Gemini API, featuring caching, fallbacks, and diverse processor types.

Documentation

For comprehensive details, guides, and examples, please refer to the dedicated documentation files:

  • API Documentation: Detailed reference for all Miniparse APIs, including top-level functions, core classes, and types.
  • Configuration Guide: Explains all available configuration options and how to customize the Miniparse pipeline.
  • Usage Examples: Practical code examples demonstrating various use cases, including basic processing, LLM integration, speech analysis, and API integration.
  • Code Walkthrough: Insights into the architecture and implementation details of the Miniparse library.

Contributing

Contributions are welcome. Please see the Contributing Guide for more details.

Future Plans

Version 0.2.0: Improved Text Processing and LLM Integration

Planned features include: * Improved LLM integration: support for more models and providers * Expanded documentation: guides and API references

License

Licensed under the MIT License © 2025.