Gretel Synthetics is a library for generating synthetic text data using deep learning models built with TensorFlow. It trains on real datasets and learns patterns to produce synthetic records that preserve statistical properties while protecting individual privacy through differential privacy techniques. The library supports both structured tabular data and unstructured text, and includes APIs for configuration, training, and generation workflows.