writing-style-coach

Writing style analysis extracts multi-dimensional features like tone, sentence patterns, and rhetoric from plain text articles to generate a comprehensive style profile. You need to provide a corpus of 10 or more articles to produce an accurate structured JSON report.

Yes, style prompt generation creates reusable templates based on your analyzed writing style features. The tool outputs a structured JSON containing style tags and descriptions that can guide AI to generate content matching your unique voice.

Text style analysis evaluates titles, openings, content structure, language, endings, tone, emotion, common phrases, rhetoric, and sentence patterns. These multi-dimensional features are extracted to calculate a comprehensive style score and generate detailed style tags.

No external services are required to run writing style analysis. The implementation relies entirely on local Python scripts and standard libraries to process plain text and output structured JSON style profiles without any external dependencies.

You can maintain a consistent brand voice by building a style library that manages multiple style profiles. Applying the extracted style rules to new titles, intros, and sections ensures content polishing and consistent stylistic alignment across various articles.