How can I build my own offline text recognition library like Google ML Kit that gives text and bounding boxes, but supports my own custom language?
How can I create an Android library similar to Google ML Kit Text Recognition that works fully offline, detects text from images, and returns both the recognized text and the bounding boxes? I want to support a custom language that is not available in ML Kit. What steps should I follow to build this from scratch?
Accepted Answer
What you're asking for requires deep understanding of image processing and neural networks. You need a college course, not a question here.
Gabe SechanFeb 28 at 3:30 PM
1