Precise character-level string indexing for LLMs. Provides tools for finding, extracting, and manipulating text by exact character position to solve position-based operations.
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 AI agents with local file-processing capabilities for token counting, RAG chunking, CSV/JSON conversion, QR generation, and more, while keeping documents private on the user's machine.
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.
Provides a set of micro-tools (time calculation, regex, encoding, JSON diff, etc.) for LLM agents to handle deterministic, precision tasks that models often get wrong.