Lighting can be the determining factor between 99% and 40% accuracy.Even after passing a model on their notes, you would still need to have the extracted text autocorrected by a human or have a specialized model in medicine that can autocorrect according to a medical context Doctors are known to have illegible handwriting. Some handwritings are so hard to read for humans and machines.However, the process faces a few challenges:

Text extraction using AI models that work on handwritten text or print scans saves the time needed to convert manuscripts to softcopies. Your brain will read any text it can identify almost subconsciously. It’s hard not to read text when you see it. Think of a child they go into the world not knowing how to speak or read but give the child enough examples on how an ‘a’ looks, and it becomes second nature to identify the letter. The concept of learning comes from how the human brain works. Access to handwritten text data and the cheap processing power have enabled humans to train models that ‘learn’ like a human being to ‘read’ text. Then OCR came along, but it was still not perfect. Digitization came with the extra burden of storing the handwritten scans as images or having to type every word on the manuscripts to convert them to softcopies.

The art of writing has been around for centuries. Long before computers or the internet, doctors were still treating patients, students were still taking notes in class, lovers exchanged letters, and authors were still publishing their books.

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