Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52893

SaaS Platform for Context-Aware PDF Summarization using Generative NLP

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52893

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52893

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.

Share this article:

Authors

PDL

Prof. Dhanashri Londhe1

JD

Jeevan Dhatbale2

MD

Mohan Dinkar3

AD

Anuj Dhole4

SD

Sujal Dhavale5

Author Services & Downloads

Full Articles

Abstract

The modern digital landscape is overwhelmed with lengthy, complex documentation, especially in professional, academic, and legal sectors, primarily existing in the Portable Document Format (PDF). The exponential growth of documents creates a significant information retrieval bottleneck, where professionals spend excessive time manually sifting through files to extract key context and critical data points. Existing summarization tools are often limited to simple text compression, failing to understand document structure, tables, figures, or the overall context of complex, multi-page PDFs, which leads to generic, non-actionable summaries. This deficiency necessitates a robust, intelligent, and scalable solution that moves beyond simple summarization to genuine document understanding. Our solution is a SaaS Platform for Context-Aware PDF Summarization with Document Intelligence using Generative NLP, designed to address this problem by offering an accessible, web-based service. The platform is engineered to first apply Document Intelligence techniques to analyze the PDF’s layout, extract structured data from tables and figures, and understand the hierarchical flow of information. This comprehensive context is then fed to a Generative NLP model, specifically a fine-tuned open-source Transformer model from the Hugging Face ecosystem, ensuring specialized and cost-effective performance, instead of relying on generic commercial APIs. The core innovation lies in the ‘context-aware’ nature of the summarization, where the generated output is tailored to the document’s structure and the user’s implicit intent, producing highly relevant and accurate summaries and key insights.

KEYWORDS

Natural Language Processing (NLP) Software as a Service Document Intelligence Fast API (Python Web Framework).

Cite This Article

Prof. Dhanashri Londhe1, Jeevan Dhatbale2, Mohan Dinkar3, Anuj Dhole4, Sujal Dhavale5, "SaaS Platform for Context-Aware PDF Summarization using Generative NLP," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025. https://doi.org/10.55041/IJSREM52893

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

6/9/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...