Academic Journal
Leveraging OCR and AI Tools: A Comparative Guide to Enhancing Data Processing and Decision-Making Efficiency in the Digital Age.
| Τίτλος: | Leveraging OCR and AI Tools: A Comparative Guide to Enhancing Data Processing and Decision-Making Efficiency in the Digital Age. |
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| Συγγραφείς: | Ali, Ilker, Selim, Aybeyan, Skender, Fehmi |
| Πηγή: | Turkish Journal of Engineering (TUJE); 2026, Vol. 10 Issue 1, p129-142, 14p |
| Θεματικοί όροι: | Optical character recognition, Artificial intelligence, Automation software, Prediction models, Electronic data processing, Decision making, Digital transformation |
| Περίληψη: | In this era of digital revolution, efficient processing and leveraging of data are critical to organizational success. The paper is a comparative analysis of Optical Character Recognition (OCR) software and Artificial Intelligence (AI) tools, their strengths, weaknesses, and best fit applications. OCR, which can turn printed or hand written text into machine-readable form, excels in document processing and automation but falls short with low quality images and complex layouts. AI tools, however, offer unparalleled flexibility in advanced data analysis, predictive modeling, and decision-making support but at increased resource utilization and ethical concerns. The study also explores scenarios under which the intersection of OCR and AI can offer maximized outcomes, such as in healthcare, finance, and marketing. By contrasting the technologies comparatively, the paper presents real world recommendations to practitioners who intend to enhance efficiency as well as decision-making in a dynamic technological landscape. This review synthesizes 32 sources and 3 sectoral case studies; reported performance spans 98-99.5% printed text accuracy and 95-99% EMR on key fields. [ABSTRACT FROM AUTHOR] |
| Copyright of Turkish Journal of Engineering (TUJE) is the property of Murat Yakar and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=25871366&ISBN=&volume=10&issue=1&date=20260101&spage=129&pages=129-142&title=Turkish Journal of Engineering (TUJE)&atitle=Leveraging%20OCR%20and%20AI%20Tools%3A%20A%20Comparative%20Guide%20to%20Enhancing%20Data%20Processing%20and%20Decision-Making%20Efficiency%20in%20the%20Digital%20Age.&aulast=Ali%2C%20Ilker&id=DOI:10.31127/10.31127/tuje.1796566 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Leveraging OCR and AI Tools: A Comparative Guide to Enhancing Data Processing and Decision-Making Efficiency in the Digital Age. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ali%2C+Ilker%22">Ali, Ilker</searchLink><br /><searchLink fieldCode="AR" term="%22Selim%2C+Aybeyan%22">Selim, Aybeyan</searchLink><br /><searchLink fieldCode="AR" term="%22Skender%2C+Fehmi%22">Skender, Fehmi</searchLink> – Name: TitleSource Label: Source Group: Src Data: Turkish Journal of Engineering (TUJE); 2026, Vol. 10 Issue 1, p129-142, 14p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Optical+character+recognition%22">Optical character recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Automation+software%22">Automation software</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+transformation%22">Digital transformation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this era of digital revolution, efficient processing and leveraging of data are critical to organizational success. The paper is a comparative analysis of Optical Character Recognition (OCR) software and Artificial Intelligence (AI) tools, their strengths, weaknesses, and best fit applications. OCR, which can turn printed or hand written text into machine-readable form, excels in document processing and automation but falls short with low quality images and complex layouts. AI tools, however, offer unparalleled flexibility in advanced data analysis, predictive modeling, and decision-making support but at increased resource utilization and ethical concerns. The study also explores scenarios under which the intersection of OCR and AI can offer maximized outcomes, such as in healthcare, finance, and marketing. By contrasting the technologies comparatively, the paper presents real world recommendations to practitioners who intend to enhance efficiency as well as decision-making in a dynamic technological landscape. This review synthesizes 32 sources and 3 sectoral case studies; reported performance spans 98-99.5% printed text accuracy and 95-99% EMR on key fields. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Turkish Journal of Engineering (TUJE) is the property of Murat Yakar and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.31127/10.31127/tuje.1796566 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 129 Subjects: – SubjectFull: Optical character recognition Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Automation software Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Decision making Type: general – SubjectFull: Digital transformation Type: general Titles: – TitleFull: Leveraging OCR and AI Tools: A Comparative Guide to Enhancing Data Processing and Decision-Making Efficiency in the Digital Age. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ali, Ilker – PersonEntity: Name: NameFull: Selim, Aybeyan – PersonEntity: Name: NameFull: Skender, Fehmi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25871366 Numbering: – Type: volume Value: 10 – Type: issue Value: 1 Titles: – TitleFull: Turkish Journal of Engineering (TUJE) Type: main |
| ResultId | 1 |