A powerful Python toolkit for generating synthetic datasets for Optical Character Recognition (OCR) model training and evaluation. This toolkit enables generating realistic text images with ...
A high-performance, privacy-focused OCR solution that runs entirely in the browser using ONNX Runtime with both RapidOCR and PPU PaddleOCR models. Process text from images and PDF documents without ...
Abstract: Optical Character Acknowledgment (OCR) stands as a transformative innovation at the crossing point of computer vision and machine learning, encouraging the extraction of printed data from ...
Abstract: There is a sudden increase in digital data as well as a rising demand for extracting text efficiently from images. These two led to full optical character recognition systems are introduced ...
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