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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55209

Vocal Forms: An Intelligent Voice Command Form Filling System for Accessible and Hands-Free Digital Data Entry

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55209

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55209

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

AN

Ashwini Nikam¹

VD

Vedantika Deokar2

GS

Ganesh Sawant3

PP

Pratik Patil4

VS

Vaishali Suryawansh⁵

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Abstract

The paper proposes Vocal Forms, an intelligent, voice-driven form-filling system targeted at making digital data-entry processes more accessible and efficient. This system uses STT, NLP, and dynamic form rendering to let users fill forms completely with their voice. It facilitates field-by-field input, corrections using conversational cues such as “wrong” or “change field”, hands-free submission, printing, and downloading of forms. The project, aimed at accessibility, can also be used by visually impaired, physically challenged users, and professionals requiring hands-free operations. It includes a dynamic admin module for creating and managing forms, identification of users based on Aadhaar, analytics, and multi-language voice input. This paper covers discussions on the system architecture, modules, technologies used, its implementation workflow, and scaling in the future.

KEYWORDS

voice recognition NLP accessibility dynamic forms speech-to-text automation.

Cite This Article

Ashwini Nikam¹, Vedantika Deokar2, Ganesh Sawant3, Pratik Patil4, Vaishali Suryawansh⁵, "Vocal Forms: An Intelligent Voice Command Form Filling System for Accessible and Hands-Free Digital Data Entry," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55209

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Publication Date

12/15/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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11

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5

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The authors declare no conflict of interest related to this research work.

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