Text Analyzer Tool

I'll help you build a comprehensive text analysis tool! Let's start with the HTML structure featuring a textarea for input and a dashboard with cards for metrics. We'll use the Compromise library for NLP, Chart.js for keyword visualization, and the Levenshtein algorithm for similarity detection. The readability scores will be calculated using standard formulas, and we'll integrate the LanguageDetect library for multi-language support. I'll include a clean, responsive design with CSS Grid and provide downloadable JSON/PDF reports.

This is an ambitious project that touches on several complex areas. I can help you build the core structure with word/character counting and basic readability metrics, but I should note that truly robust grammar checking and sentiment analysis typically require external APIs or large ML models. For a client-side implementation, we could use simpler heuristics for sentiment and focus on the metrics that can be accurately calculated in the browser. Would you like me to start with the foundational features first?

I can provide code for a text analysis tool with word/character counting, reading time estimation (based on 200-250 WPM averages), and readability formulas like Flesch-Kincaid Grade Level. For sentiment analysis, you'll need an external API like Google Cloud Natural Language or a lightweight library. Grammar checking typically requires services like LanguageTool API. Language detection can use libraries like franc or cld3-asm. I'll create a modular structure where API-dependent features are clearly separated from client-side calculations.