Paper Title

Text extraction using machine learning

Article Identifiers

Registration ID: IJNRD_218027

Published ID: IJNRD2404297

DOI: Click Here to Get

Authors

Vikram V , Keerthi R , Keerthivela T S , Guna P , Dr. Murale C

Keywords

Video Processing, Text extraction, Audio file, handwritten documents, searchable documents

Abstract

Our project is specifically tailored to provide efficient support for students by saving valuable time. The primary objective is to empower users through flexible text extraction capabilities, particularly in recognizing handwritten documents. This initiative caters to students seeking a more accessible method for extracting text and notes from tutorial videos in the mp4 format and text format. Additionally, the project aims to convert scanned handwritten documents into searchable formats. A pivotal aspect of the project is its commitment to data accuracy, ensuring that the extracted information aligns precisely with the source material. In essence, our project revolves around the central objective of optimizing text recognition to create an inclusive and time-efficient experience for the student community. Moreover, our project also aims to convert extracted text into mp3 format, providing further accessibility options for students.

How To Cite

"Text extraction using machine learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c555-c558, April-2024, Available :https://ijnrd.org/papers/IJNRD2404297.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : c555-c558

Other Publication Details

Paper Reg. ID: IJNRD_218027

Published Paper Id: IJNRD2404297

Downloads: 000121149

Research Area: Engineering

Country: Coimbatore, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404297.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404297

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area