Easy Text Processing

Problem Addressed

When working with short text, the task is often narrow: remove leading and trailing whitespace, collapse repeated spaces and extra line breaks; normalize English letters to upper or lower case; count total characters and Han characters; or locate and mark keyword occurrences. easytext reduces these small operations to a predictable interface, avoiding throwaway regex or ad hoc scripts for routine cleanup.

How It Works

Requests pass content and opt, where opt supports trim, upper, lower, count, and search. trim removes edge whitespace, consecutive spaces, and surplus line breaks while preserving normal paragraph separation. upper and lower change only English letter case, leaving Chinese characters, digits, and symbols untouched. count returns total character count and pure Han character count. search requires keyword and marks all matching positions in the original text. This makes it easy to embed in content normalization, copy cleanup, length checks, and keyword highlighting pipelines.

Scope and Limitations

It targets lightweight basic text handling, not translation, summarization, entity extraction, rich-text rendering, or complex parsing. If inputs contain tabs, control characters, or mixed-language casing expectations, verify that the fixed rules match the expected result. search is unusable without keyword, and highlighting depends on the original text order.