Accurately counts characters, bytes, and manuscript paper based on Unicode grapheme clusters, and provides deterministic feedback to help AI meet exact length limits for self-introductions or school records.
Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.
Provides detailed character analysis for text, counting total characters, characters without spaces, letters, numbers, and symbols through a simple MCP tool interface.
Provides tools for accurate Twitter/X post character counting, validation, and optimization using official counting methods. It enables users to extract entities like URLs and hashtags to ensure content fits within platform constraints.