TensorFlow Text provides a collection of text-based ops and classes that integrate directly into TensorFlow data pipelines. It enables common text preprocessing tasks such as tokenization, normalization, and Unicode handling to execute as TensorFlow ops, allowing text processing to run efficiently on GPUs, TPUs, or CPUs within ML training and inference workflows.