nlpaug is a data augmentation library designed for natural language processing and acoustic data. It generates synthetic training data to improve model performance without manual annotation. The library provides various augmentation techniques including character-level, word-level, and sentence-level transformations, and can be integrated with popular ML frameworks like scikit-learn, PyTorch, and TensorFlow.