• Shagun Davessar

Over the recent years, there’s been a boost in research on data extraction. In today’s digitalized world, everything has become digital like Text files, Invoices, Bills, etc. Optical Character Recognition (OCR) is the technology which converts an image into a machine-readable text format, hence stores as text data. Nowadays, most businesses involve receiving information from print media, like invoices, printed contracts, etc. Therefore, manually this process takes a lot of time and can be tedious and so this project will help them. In this project, our aim is to extract whole data from Invoices along with the texts present inside the table. And classify them like dictionary, Key: Value pair.

Deep learning, OCR, Named Entity Recognition (NER), Natural Language Processing (NLP), YOLO, Data extraction

"Data Extraction using Optical Character Recognition and Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.e697-e701, December-2023, Available :http://www.jetir.org/papers/JETIR2312486.pdf

"Data Extraction using Optical Character Recognition and Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppe697-e701, December-2023, Available at : http://www.jetir.org/papers/JETIR2312486.pdf