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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60052

DocuVoice: Survey of Intelligent Document Analysis Solutions for the Visually Impaired

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60052

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60052

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AC

Abhishek Chavan

RP

Roshan Patil

SP

Sahil Patil

PA

Pankaj Ahirrao

PPTK

Prof. P. T. Kohok

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Abstract

The availability of written information is a challenge for visually impaired people. The traditional screen reader and text-to-speech technology enable linear reading but do not sup- port understanding and interaction. This paper presents a survey of the current state of the art and research in document anal- ysis and accessibility, including Optical Character Recognition, layout analysis, Natural Language Processing, summarization, and speech interfaces. The survey highlights the key gaps in the current state of the art, including dealing with complex layouts, explaining figures and tables, multilingual support, and data privacy. This paper also introduces a unified framework for an intelligent document analyzer using AI technology called Docu- Voice.

KEYWORDS

Accessibility visually impaired document analysis OCR NLP text-to-speech assistive technology artificial intelligence. DocuVoice

Cite This Article

Abhishek Chavan, Roshan Patil, Sahil Patil, Pankaj Ahirrao, Prof. P. T. Kohok, "DocuVoice: Survey of Intelligent Document Analysis Solutions for the Visually Impaired," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60052

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Publication Date

4/13/2026

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Double-Blind Peer Review

Review Rounds: 2

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