How does Hebrew Image Translator work?
- Optical Character Recognition (OCR). OCR is a technology that recognizes text within a digital image, converting it into a format that can be edited and searched.
- Machine Learning Algorithms. These algorithms improve the accuracy of text recognition by learning from vast datasets, enhancing the translator's ability to identify different fonts and styles.
- Image Preprocessing Techniques. These techniques involve enhancing image quality, removing noise, and adjusting contrast, which helps improve the OCR results.
- Language Processing Models. These models analyze the context and structure of the recognized Hebrew text to ensure meaningful translation and accuracy.