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Intelligent document processing: AI-powered RPA for multilingual OCR of receipts

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Spriha Deshpande * and Manoj Rajalbandi

Santa Clara, USA.

Review Article

International Journal of Science and Research Archive, 2025, 14(01), 1164-1166

Article DOI: 10.30574/ijsra.2025.14.1.0163

DOI url: https://doi.org/10.30574/ijsra.2025.14.1.0163

Received on 10 December 2024; revised on 18 January 2025; accepted on 21 January 2025

This paper explores the integration of Artificial Intelligence (AI) in Robotic Process Automation (RPA) for document processing, specifically focusing on Optical Character Recognition (OCR) of image receipts in multiple languages. By leveraging a hybrid Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) model, the system is capable of accurately extracting textual information from receipts. Furthermore, the model classifies these receipts into distinct categories, enabling efficient data management and analysis.

RPA; CNN; RNN/LSTM; CTC; OCR

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0163.pdf

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Spriha Deshpande and Manoj Rajalbandi. Intelligent document processing: AI-powered RPA for multilingual OCR of receipts. International Journal of Science and Research Archive, 2025, 14(01), 1164-1166. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0163.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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