SolarZip compresses solar extreme-ultraviolet image data using error-bounded lossy compression techniques designed to reduce data volume while controlling reconstruction error. The software applies interpolation-based predictors and configurable absolute or relative error constraints to image data prior to compression. It includes command-line tools for processing image datasets and producing compressed outputs along with reconstructed products for evaluation. SolarZip supports batch processing workflows and provides utilities to assess compression performance through distortion and reconstruction metrics.