Tomato

Tomato is a steganography tool that embeds hidden messages within natural language text by utilizing minimum-entropy coupling (MEC) code, enabling the creation of undetectable stegotext. Its primary use case is to securely encode and decode plaintext messages while preserving the statistical properties of the cover text, ensuring seamless integration and accurate retrieval of hidden information. Notable features include the use of an LLM for generating coherent cover text and a user-friendly command-line interface for encoding and decoding functionalities.