Styleformer is a neural network-based framework that performs controlled text style transfer between fine-grained linguistic styles. It uses deep learning models to transform text along dimensions like formality level (formal ↔ casual) and voice (active ↔ passive). The framework provides use cases including data augmentation, post-processing machine-generated text, controlled paraphrasing, and assisted writing applications.