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

Spriha Deshpande; Manoj Rajalbandi

doi:10.30574/ijsra.2025.14.1.0163

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

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

Publication history

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

Abstract

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.

Keywords

RPA; CNN; RNN/LSTM; CTC; OCR

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How to cite this article

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.

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