How does Javanese Image Translator work?
- Optical Character Recognition (OCR). OCR technology detects and extracts text from images, allowing the Javanese Image Translator to identify the text that needs translation.
- Neural Machine Translation (NMT). NMT uses deep learning models to provide high-quality translations with context awareness, ensuring that the Javanese text retains its intended meaning.
- Image Preprocessing. The image preprocessing stage enhances image quality to improve OCR accuracy, including adjustments for brightness, contrast, and noise reduction.
- User Feedback Mechanism. This feature allows users to review and suggest corrections to translations, leading to continuous improvement of the translation quality.