Text Processor

Batch Chinese text processing — clean, normalize, translate, extract keywords, and format text for content production.

A batch text processing utility for content workflows. Handles Chinese text normalization, cleaning, formatting, and structured extraction. Designed for content creators, editors, and automation pipelines.

Features

• Text cleaning: Remove extra whitespace, fix punctuation, normalize quotes
• Chinese normalization: Convert full-width/half-width, simplify/traditional
• Batch processing: Process multiple text items in one call
• Format conversion: Markdown ↔ plain text, numbered lists, tables
• Keyword extraction: Extract key terms and phrases from Chinese text

Usage

const processor = require('./skills/text-processor');

// Clean and normalize
const cleaned = processor.clean("  Hello，世界！  This has ”bad” quotes.  ");
// → "Hello，世界！This has "bad" quotes."

// Extract keywords from Chinese text
const keywords = processor.extractKeywords("今天天气很好，适合出去郊游");
// → ["天气", "郊游", ...]

// Batch process
const results = processor.batch([
  "  文本1  ",
  "  文本2  "
], 'clean');
// → ["文本1", "文本2"]

API

clean(text)

Normalize and clean Chinese/English mixed text:

• Trim whitespace
• Collapse multiple spaces
• Normalize quotes («»「」"" → standard "")
• Normalize full-width/half-width punctuation

extractKeywords(text, maxCount?)

Extract meaningful keywords from Chinese text using TF heuristics.

batch(items, operation, options?)

Process an array of texts with the same operation.

License

MIT