Our OCR technology promotes paperless operations and boosts business efficiency by digitizing paper documents, driving your organization’s transition to smarter, digital document management.
Manually processing paper documents not only takes time but also increases the risk of errors. By utilizing OCR (Optical Character Recognition), handwritten and printed text can be accurately converted into data, dramatically improving operational efficiency.
In addition, with pay-per-use OCR systems, costs increase in proportion to the volume of data or number of documents processed. To address this, we support the implementation of a one-time purchase OCR system that allows large-scale data processing without worrying about cost, as well as the construction of a dedicated environment tailored to your company.
OCR technology accurately identifies characters, enabling the digitization of handwritten and printed documents. This enhances searchability and allows users to quickly access the information they need.
By automating manual data entry, our technology improves operational efficiency and reduces human error, resulting in more stable and reliable business processes.
Digitized documents can be securely managed, and systems can be scaled up in stages as needed. The solution also supports flexible migration from on-premise environments to the cloud.
Clients are welcome to share their needs or concerns.
We propose tailored solutions based on each client's specific operating environment and requirements.
From initial setup to full-scale implementation, we provide comprehensive support to ensure smooth deployment and operation.
We offer ongoing user support and propose improvements to maximize the effectiveness of the system.
OCR improves document management efficiency, promotes paperless operations, and enhances productivity by reducing manual work.
Documents can be scanned using multifunction equipment or dedicated scanners, after which OCR technology extracts the text.
Yes, OCR can recognize both printed and handwritten text.
However, due to variations in handwriting and character shapes, OCR recognition accuracy for handwritten text tends to be lower than for printed materials.
