  Telugu is a Dravidian language spoken by more than 80 million people
worldwide. The optical character recognition (OCR) of the Telugu script has
wide ranging applications including education, health-care, administration etc.
The beautiful Telugu script however is very different from Germanic scripts
like English and German. This makes the use of transfer learning of Germanic
OCR solutions to Telugu a non-trivial task. To address the challenge of OCR for
Telugu, we make three contributions in this work: (i) a database of Telugu
characters, (ii) a deep learning based OCR algorithm, and (iii) a client server
solution for the online deployment of the algorithm. For the benefit of the
Telugu people and the research community, we will make our code freely
available at https://gayamtrishal.github.io/OCR_Telugu.github.io/
