Description
Higher-accuracy OCR can use larger RapidOCR server models when quality matters more than package size or resource use. It is useful for servers, workstations, and batch processing where better recognition is worth heavier models.
This is model data, not the OCR engine itself. Larger OCR workflows may process many private documents, so storage, logs, and extracted text need careful protection.