How CoreTechX’s OCR System Makes Arabic-First Document Intelligence Practical

Optical character recognition (OCR) is the technology used to convert printed or handwritten text into machine-readable formats, thereby making it possible to digitize and manage information efficiently. OCR as a concept was originally rule-based when it was created in the mid-20th century, but it has since adopted machine learning and deep learning techniques to handle the complexities of handwritten documents, namely diverse handwriting styles and overlapping characters.

These advancements in OCR technology have proven highly valuable for languages that use the Latin alphabet, for example, but until recently, most OCR systems remained incompatible with the intricacies of Arabic handwriting.

To address this challenging yet vital issue, document intelligence company CoreTechX created their own OCR system from the ground up. In doing so, they were able to make an Arabic-first system that didn’t need to adapt any technology from OCR systems initially designed for texts written in English.

Why Most OCR Tech Struggles with Arabic Handwriting

The majority of OCR systems struggle to read Arabic handwriting because the text presents a unique combination of challenges that are rarely seen or addressed together. Barring the complexities that historical documents present, namely physical degradation and vocabulary shifts, modern Arabic is written in cursive, with letters that change shape depending on position. It also features diacritics that add semantic meaning but are often faint, inconsistent, or omitted.

Arabic handwriting is also subject to the idiosyncrasies of a given writer, as handwritten words may merge into each other, baselines may be slanted, spacing may be irregular, and writing styles may vary depending on where and when an author wrote. These myriad complexities and nuances make handwritten Arabic incredibly difficult for standard OCR systems to consistently and accurately process.

Shifting From Basic OCR to Document Intelligence

CoreTechX’s OCR system is particularly well-suited to work with Arabic handwriting in large part because it operates more like an instance of document intelligence than it does standard OCR.

This is because CoreTechX’s program does a better job of recognizing the context needed to fill in information that a human reader would be able to infer but an AI reader might overlook. The company’s OCR system also incorporates a dedicated UX layer that automates the workflows surrounding the OCR, thereby reducing the likelihood of encountering bottlenecks in the transcription and templating processes.

When it comes to the reading process itself, CoreTechX’s OCR system includes a hybrid CNN-Transformer architecture optimized for character and line-level recognition. This technology works alongside a proprietary document ingestion and structuring process that accounts for layout, context, and historical variation, ultimately resulting in greater overall accuracy levels.

Practical Uses for Arabic-First OCR

Although having an OCR system that can effectively transcribe handwritten Arabic is a technical feat worth celebrating on its own, the system promises to provide a host of additional benefits for a variety of sectors. For example, by gaining access to large amounts of previously unusable data, AI companies can expand the training and evaluation material available for their Arabic language models, thereby enabling stronger and more representative AI systems across the ecosystem.

Large enterprises, meanwhile, would be able to use this OCR system to digitize and structure the handwritten records they have stored as scanned images. Digitizing these records makes it possible to enable analytics and provide faster service delivery. Cultural and historical institutions benefit in similar ways, as they would be able to digitize otherwise rare and inscrutable manuscripts typically reserved for expert analysis.

Even compliance-heavy sectors that ordinarily reject standard OCR systems benefit from CoreTechX’s since theirs was designed as a fully on-premise system that can be deployed entirely within the client’s own infrastructure, thereby eliminating the need to send sensitive data to external servers.

Prior to the introduction of CoreTechX’s OCR system, a significant amount of handwritten Arabic text remained largely inaccessible, and the texts that could be examined required time-intensive manual review.

These barriers hindered many people’s ability to interact with valuable Arabic knowledge, but through CoreTechX’s developments in OCR and document intelligence technologies, commercial and educational institutions alike will be able to share this knowledge with audiences who stand to gain from improved access to the commodity that is information.