How does Armenian Image Translator work?
- Optical Character Recognition (OCR). OCR technology is used to detect and extract text from images, converting it into a machine-readable format.
- Natural Language Processing (NLP). NLP techniques help in understanding and processing the Armenian language, enabling accurate translations and context recognition.
- Machine Learning Models. Machine learning models are trained to improve the accuracy of text recognition and translation, learning from vast datasets.
- Image Preprocessing. Image preprocessing techniques enhance the quality of input images, ensuring better recognition of characters and symbols.
