wtpsplit provides pretrained deep learning models for sentence boundary detection and semantic unit segmentation. It implements the SaT (Segment Any Text) model as the primary offering, achieving state-of-the-art results across 8 corpora in 85 languages. The models can run on GPU, CPU via ONNX, or TPU, and support batched inference for efficient processing of multiple texts.