Saudi survey finds OCR seen as useful for archiving, but training gaps persist

Optical Character Recognition (OCR) technology is viewed positively by Saudi Arabian professionals and technology users as a tool for converting paper records into searchable digital archives, according to an exploratory survey study published in Frontiers in Big Data. The research, led by Alia Mohammed AlSulaimi of Imam Muhammad Ibn Saud Islamic University in Riyadh, examined how organizations in the Kingdom perceive OCR adoption for document archiving, framed within the digital transformation agenda of Saudi Vision 2030.

The study employed a descriptive cross-sectional design using a structured questionnaire that combined closed-ended items with optional open-ended responses. Data were collected from two small participant groups: eight domain experts and fifteen general technology users, drawn from public and private sector organizations.

The findings indicate that participants generally viewed OCR technology positively, particularly with regard to its perceived usefulness. Document retrieval efficiency received unanimous agreement from both participant groups, identifying faster access to archived information as the most widely recognized benefit of OCR adoption. This suggests that, among the dimensions measured, the ability to locate archived documents quickly resonated most strongly with respondents across both expert and general user categories.

At the same time, respondents identified several factors that continue to hinder wider implementation. These included limited access to specialized OCR training and concerns about digitizing fragile or historical paper records.

Participants also reported that although OCR improves document retrieval and day-to-day workflow efficiency, its integration into organizational processes still depends on adequate technical infrastructure, workforce preparedness, and effective implementation planning. In other words, the perceived benefits of the technology do not translate automatically into successful adoption; organizations must also invest in the surrounding conditions that allow OCR systems to function reliably.

The study addresses Arabic-language documents as a distinct dimension of the challenge. However, the manuscript treats challenges associated with Arabic script as contextual issues identified in the existing literature rather than as direct empirical findings of the present survey. This distinction matters for interpreting the results: the survey measured perceptions of adoption and barriers, not the technical accuracy of Arabic OCR itself.

OCR technology works by analyzing images of printed text and converting them into machine-readable characters, which enables full-text search of digitized documents. The technology is therefore positioned as an enabler of document digitisation, supporting the conversion of printed records into searchable digital content.

The context for the research is the digital transformation agenda introduced under Saudi Vision 2030, which has encouraged organizations across the Kingdom to modernize document management practices and reduce dependence on paper-based records. Within that agenda, the study offers practical insights that may support future organizational digitisation initiatives, particularly for institutions weighing the transition from paper archives to digital systems.

The authors characterize the study as providing exploratory descriptive evidence on participants’ perceptions of OCR adoption, implementation challenges, and perceived organizational impact within Saudi Arabian document-archiving contexts. The study contributes to what the manuscript describes as limited empirical literature examining the organizational and user-centered dimensions of OCR adoption in Arabic-language archival environments. Given the small sample size of eight domain experts and fifteen general technology users, the findings should be read as exploratory perceptions rather than as generalizable measures of adoption across the Kingdom, and the survey did not evaluate the technical performance of specific OCR systems.

Subject of Research: Perceptions of OCR technology adoption for paper document archiving in Saudi Arabian organizations

Article Title: Exploring perceptions of OCR technology adoption for paper document archiving in Saudi Arabia: an exploratory study

Article References: AlSulaimi, A. M. (2026). Exploring perceptions of OCR technology adoption for paper document archiving in Saudi Arabia: an exploratory study. Frontiers in Big Data, 9, Article 1916400. https://doi.org/10.3389/fdata.2026.1916400

Image Credits: AI Generated

DOI: 10.3389/fdata.2026.1916400

Keywords: OCR, document archiving, Saudi Arabia, Technology Acceptance Model, Vision 2030, digital transformation, Arabic script, document retrieval, survey research, organizational adoption, Exploring, perceptions