Parakeet.cpp is a high-performance speech recognition inference library for NVIDIA's Parakeet model family (TDT-CTC, RNNT, Streaming EOU, Nemotron, Sortformer), written in C++ with C bindings. It provides offline and streaming transcription, speaker diarization, voice activity detection (VAD), beam search with optional n-gram language model fusion, phrase boosting, and timestamp extraction. The library is built on the axiom tensor library with Metal GPU acceleration for Apple Silicon, and supports audio input from WAV, FLAC, MP3, and OGG formats. The codebase includes a CLI tool, a Unix domain socket server example, and a rich set of examples covering all major features. While primarily an application/library for production ASR inference, it also contains research-oriented model conversion scripts (NeMo to safetensors) and a benchmark script comparing with PyTorch inference, giving it a hybrid character. The architecture is cleanly modular, with separate modules for audio I/O, VAD, model encoders/decoders, and decoding algorithms. The C API enables binding to Python, Swift, Rust, and other languages. Documentation and build system are well-maintained, and the repository is actively developed with recent commits.