Piper is a neural text-to-speech engine that converts text to speech using deep learning models, running entirely locally for privacy and speed. It leverages espeak-ng for phonemization and supports multiple interfaces including Python API, command-line, web server, and C/C++ library integration. The project also includes tooling for training new TTS voices.