The existing Optical Character Readers (OCRs) are capable of reading linear form text and have limitations to read artistic and non-linear form text. Wave-form-text is an artistic-text which is quite common in several documents such as certificates, advertisements and history documents. OCRs fail to read such wave-form-text and it is necessary to transform the same to linear-form-text at preprocessing stage. In this paper, we present a transformation model for better readability by OCRs. This method takes the wave-form-text as input, extracts each character. The characters are subjected to tilt correction to correct any tilt present. Then the characters are subjected to alignment correction and are finally concatenated together to form linear text. The proposed method is implemented on several wave-form-text inputs and the readability of the transformed text is analyzed with an OCR.