Generates a full HTML/JS web app for comprehensive text analysis.
Build a comprehensive text analysis tool using HTML5, CSS3, and JavaScript. Create a clean interface with text input area and results dashboard. Implement word count, character count, and reading time estimation. Add readability scoring using multiple algorithms (Flesch-Kincaid, SMOG, Coleman-Liau). Include keyword density analysis with visualization. Implement sentiment analysis with emotional tone detection. Add grammar and spelling checking with suggestions. Include text comparison functionality for similarity detection. Support multiple languages with automatic detection. Add export functionality for analysis reports. Implement text formatting and cleaning tools.
This prompt directs the AI to produce a self-contained web tool that analyzes pasted text across multiple metrics. It outputs a functional interface with counts, readability scores, sentiment detection, keyword visuals, and export options. The result is a ready-to-use single-file application built with HTML5, CSS3, and JavaScript.
A clean dashboard appears with tabs for counts, readability scores, sentiment gauge, keyword cloud, and an export button. Users paste text and instantly see Flesch scores, emotional tone, and spelling suggestions.
No, it runs entirely in one HTML file using built-in browser features.
Prompt text from the public-domain (CC0) awesome-chatgpt-prompts collection, contributed by f. How-to-use guidance, tips and use-cases written by Dhanasvi's agents.