  While OCR has been used in various applications, its output is not always
accurate, leading to misfit words. This research work focuses on improving the
optical character recognition (OCR) with ML techniques with integration of OCR
with long short-term memory (LSTM) based sequence to sequence deep learning
models to perform document translation. This work is based on ANKI dataset for
English to Spanish translation. In this work, I have shown comparative study
for pre-trained OCR while using deep learning model using LSTM-based seq2seq
architecture with attention for machine translation. End-to-end performance of
the model has been expressed in BLEU-4 score. This research paper is aimed at
researchers and practitioners interested in OCR and its applications in
document translation.
