Scanned documents sometimes can have pages with wrong alignment. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solution incorporates statistical models which identify angle of tilt based on textual orientation, position of text relative to page boundaries and text clusters and corrects the alignment / tilt of the pages. This enables OCR / ICR engines to achieve higher accuracy and improves the subsequent text extraction pipelines.