How does Nepali Image Translator work?
- Optical Character Recognition (OCR). OCR technology is used to recognize and convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
- Machine Learning. Machine learning algorithms improve the accuracy of text recognition by learning from large datasets of Nepali text and images, helping the translator adapt to various fonts and handwriting styles.
- Natural Language Processing (NLP). NLP techniques are applied to understand and interpret the context of the recognized text, enabling better translation and conversion to meaningful digital text.
- Image Preprocessing. Image preprocessing techniques enhance the quality of images before recognition, using filters and adjustments to improve contrast and clarity for better OCR results.
