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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21604
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
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| Paper Title: | Automated Document Processing: Combining OCR and Generative AI for Efficient Text Extraction and Summarization |
| Authors Name: | R VISHNU VARDHAN REDDY |
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| Author Reg. ID: |
IJRTI_201844
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| Published Paper Id: | IJRTI2503220 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Distributed in myriad formats digital documents proliferate — advanced tools for efficient and reliable processing are in demand. Traditional Optical Character Recognition (OCR) systems are indeed useful, but can be extremely limited in their usage, in covering complex types of document, or in poor scanning quality inputs. Furthermore, much of textual content summarizing from these documents remains manual, thus creating inefficiencies for a tasks that could easily be automated. In this paper, we present an integrated method combining augmented OCR techniques with Google Gemini’s generative artificial intelligence to automatically extract and summarize text. The system also uses advanced OCR algorithms to greatly improve text recognition accuracy for poor quality scans and skewed layouts. At the same time, generative AI models enable concise and relevant summaries to be produced simultaneously, with overall document processing effectiveness and accessibility improved. Rigorous testing on a broad suite of document types demonstrates how much more effective the system is than traditional methods in terms of accuracy and usability. |
| Keywords: | Optical Character Recognition (OCR), Generative Artificial Intelligence, Document Processing, Text Summarization, Machine Learning, |
| Cite Article: | "Automated Document Processing: Combining OCR and Generative AI for Efficient Text Extraction and Summarization", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c109-c114, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503220.pdf |
| Downloads: | 000621 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503220
Registration ID:201844
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: c109-c114 Country: Chennai, Tamil nadu, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503220 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503220 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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