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September 10, 2025Scientific journal “Library Science Record Studies Informology”0 citationsOpen Access

Digitisation of genealogical documents based on automatic text recognition technology

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ASA. R. Spektor

Key Points

  • The study shows that optical character recognition enhances efficiency in digitising genealogical documents.
  • It reports on the successful implementation of text recognition technology in major archives, improving data retrieval speed.
  • Analysis covered international approaches to digitising archives and their implications for preserving cultural heritage.
  • The findings suggest that modernising the archival sector in Ukraine can significantly boost genealogical research access.

Abstract

This study aimed to examine existing approaches and technologies for the digitisation of genealogical documents, drawing on international experience. This enabled more efficient organisation of digitisation processes and mechanisms for archive groups, their centralised storage, accelerated genealogical research, and improved user accessibility. The digitisation of archives had became a critically important aspect of preserving cultural heritage, particularly in the context of Russia's military aggression against Ukraine. The introduction of automatic text recognition technology had contributed to the optimisation of this process, facilitating access to information and enhancing the efficiency of research, particularly in the field of genealogy. The study analysed the operating principles of optical character recognition, its advantages, the features of ready-made solutions, and the functionality of software based on this technology. The strategy for digitisation in Ukraine was assessed, along with the challenges facing the archival sector in terms of digitisation and access to archive groups. The research also examined the outcomes of implementing automatic text recognition in leading archives worldwide, as well as the capabilities of online archives that offered contextual search functions. Particular attention was given to the opportunities afforded to researchers through the integration of such systems into archival operations, notably the ease of locating required information, the increased speed of data processing, and the provision of round-the-clock access to archival resources regardless of users’ geographical location. The study also reviewed the research of scholars involved in the development and implementation of optical character recognition in archival institutions. Drawing on international experience, the potential of modern Optical Character Recognition technologies to modernise the archival sector in Ukraine was identified, with positive implications for genealogical research and the preservation of cultural heritage. The practical value of the study lies in demonstrating the effectiveness of information technologies in improving the digitisation process of archival documents and enhancing access to them. The proposed recommendations aim to optimise the organisation of digital archives, improve document storage and retrieval processes, and accelerate genealogical research. These developments will contribute to the preservation of cultural heritage and improve access to archival information for users

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Cite This Study

A. R. Spektor (2024) studied this question.

synapsesocial.com/papers/68c1e17054b1d3bfb60fe6f3https://doi.org/10.63009/lsrsi/4.2024.56
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Development Level of Problem of Digitalization of Conducting Archival Genealogical Research2024
  2. 2Integration of Document Digitalization Software in the Electronic System of the Archive2024
  3. 3Possibilities of Using OCR Technologies from Google for Recognition and Digitalization of Archive Documents2024
  4. 4From the Concept of Storing Documents in Electronic Form to the Regulatory and Legal Basis of Creating National Archival and Library Information Resources2024 · 5 citations
  5. 5International Experience in the Development of Electronic Archives of Qualification Works2024 · 1 citations