To extend PE to other data modalities beyond images for generating privacy-preserving synthetic data, similar principles can be applied but tailored to suit different types of datasets. For text-based modalities, PE could utilize language generation APIs while ensuring differential privacy in text synthesis processes. In tabular or time series datasets, PE could leverage API functionalities specific to those domains while maintaining DP guarantees throughout the synthetic data generation process. Adapting PE's framework for diverse datatypes would involve customizing distance functions and fitness metrics based on each modality's unique characteristics while upholding stringent privacy standards across all implementations.