Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (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)

Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: PDF Extraction
Authors Name: Naikwade Kajal Namdev , Bhavar Sanjivani , Ghayvate Pragati , Ghotekar Velankani, Shelar Shweta , Prof. Dinesh B. Ghorpade Sir
Unique Id: IJSDR2305117
Published In: Volume 8 Issue 5, May-2023
Abstract: With the availability of World Wide Web in every corner of the world these days, the amount of information on the internet is growing at an exponential rate. However, given the hectic schedule of people and the immense amount of information available, there is increase in need for information abstraction or summarization. Be it browsing through the seemingly endless pages of terms and conditions on an important official document or kicking back and flipping through an intriguing eBook- reading is quite an undeniable and inescapable part of our everyday lives. However, reading anything demands our complete undivided attention making it nearly impossible for us to multitask. This Online PDF to Audio Converter and Translator was created by using Python (Django) can instantly convert any PDF text into audio. Along with reading any PDF document out loud, this application can also translate and vocalize any text into up to five languages. Text summarization presents the user a shorter version of text with only vital information and thus helps him to understand the text in shorter amount of time. The goal of this project is to condense the documents or reports into a shorter version and preserve important contents convert that summarized text into audio for better understanding of the user. Also projects convert the generated summery to the audio for better understanding.
Keywords: Python, NPL, PDF Extraction, audio converter, machine learning
Cite Article: "PDF Extraction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.775 - 779, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305117.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305117
Registration ID:206371
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 775 - 779
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner