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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42999

Transformo Docs Application

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42999

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Digital Object Identifier
Not assigned

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

SC

Srimathi C

SG

Swathi G

SSC

Susanna Sherin C

VR

Varshini R

M

Mrs.N.Gayathri

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Abstract

TransformoDocs is an application designed to convert non-machine-readable documents, like scanned PDFs and images, into clear, machine-readable text. Using technologies such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and Python libraries like PyPDF and Tesseract, the system accurately extracts and processes text from complex document layouts. Built with Django for the backend and a user-friendly frontend interface, TransformoDocs ensures efficient document handling, supports multiple languages, and offers features like text summarization and analysis. This project aims to simplify document workflows, improve data accessibility, and support future enhancements for better performance and broader format compatibility

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Cite This Article

Srimathi C, Swathi G, Susanna Sherin C, Varshini R, Mrs.N.Gayathri, "Transformo Docs Application," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/25/2025

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Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

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

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No funding information available for this research.

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