How does Uyghur Image Translator work?
- Optical Character Recognition (OCR). OCR technology analyzes the shapes of letters in an image and converts them into digital text.
- Machine Learning Algorithms. These algorithms improve the accuracy of text recognition and translation by learning from vast datasets of Uyghur language examples.
- Image Preprocessing Techniques. Techniques such as noise reduction, skew correction, and contrast adjustment are employed to enhance the image quality before text extraction.
- Language Translation Integration. Once text is extracted, integrated translation services convert the Uyghur text into other languages, providing immediate understanding.
