Upgrading OCR Technology Thanks to Superior Segmentation Feature - SmartOCR Studio

The demand for data digitization is becoming increasingly diverse and complex

Developed based on artificial intelligence (AI), OCR is a technology solution that serves as a lifesaver for many businesses struggling with digital transformation and document digitization. However, in the initial deployment phase, most OCR solutions can only recognize, read, and convert data from physical documents, photos, or scans into editable soft copies. Meanwhile, businesses now require more diverse and complex digitization capabilities. Beyond regular document digitization, OCR needs to handle a wide range of templates and documents, and automate the entire data digitization workflow to support various business operations. In reality, most OCR providers in the market fail to meet these requirements, forcing many companies and organizations in Vietnam to settle for poor-quality OCR technologies.

SmartOCR by GMO outperforms competitors with superior data extraction capabilities

SmartOCR is an intelligent document digitization solution developed by GMO-Z.com RUNSYSTEM. It is currently the most complete text recognition solution on the market, thanks to its SmartOCR Studio data extraction feature and breakthrough functionalities that are unique in the industry:

Extract any type of document

Typically, OCR solutions require providers to pre-program the system according to the client’s needs before it can be used. This process is time-consuming and costly—especially for businesses in sectors like Finance and Banking, which handle a large volume of document types. With SmartOCR, this is handled effortlessly. The solution allows users to define and extract desired data fields directly through a web interface without programming. Businesses can independently digitize hundreds or thousands of templates without additional time or cost.

SmartOCR Studio enables superior data extraction

Automate the entire document digitization workflow

In addition to its powerful extraction capabilities, SmartOCR Studio automates the entire OCR process—from importing data from databases, recognizing text, extracting data, processing, and exporting to common formats like Excel, CSV, JSON, etc. This allows businesses to seamlessly integrate SmartOCR into their current systems without additional development. Thanks to a modern and intuitive interface, users can get started almost instantly.

Import multiple data files at once

Unlike some OCR solutions that require manual uploads one file at a time, SmartOCR Studio supports bulk uploads. The system automatically processes all files and returns results corresponding to each uploaded document. This helps businesses save up to 80% of the time needed for initial data processing, eliminating the hassle of manually uploading hundreds of files daily.

Market-leading accuracy in handwriting recognition

Although many providers have attempted to develop handwriting recognition, few can ensure output quality. GMO is proud to have successfully developed a Vietnamese handwriting recognition solution with up to 95% accuracy under good input conditions. For less reliable areas, SmartOCR Studio flags them for user review and correction—improving overall accuracy and reducing post-processing time. For hardcopy and card-type documents, SmartOCR reaches up to 98% accuracy; printed documents achieve over 95%.

Connecting businesses and customers with a customer-centric strategy

In addition to focusing on product development and enhancement, GMO-Z.com RUNSYSTEM also prioritizes customer support. With nearly 1,000 employees and a team of experienced engineers, GMO is committed to assisting customers anytime, anywhere. Whether using SmartOCR or any other GMO product, customer feedback is received and resolved immediately. "Optimizing customer response time" is the motto of GMO’s technical team. With SmartOCR, businesses can save 60% on staffing costs and reduce operational time by 86%. Moreover, companies can fully control the technology, easily adapt and modify it to meet new digitization demands.