
SWAI for SmartOCR is an AI-based OCR (Optical Character Recognition) solution that precisely extracts text information from unstructured documents and images. Equipped with a high-performance, deep learning-based character recognition model, it automatically recognizes various languages, fonts, and layouts, and can accurately process diverse input formats, including scanned documents, photographic images, and handwritten notes. It also includes text structuring and data conversion capabilities, contributing to practical task automation. It is suitable for industries that require high-precision OCR, such as finance, healthcare, law, and education, and can be flexibly applied in both on-premises and cloud environments.
High-precision processing of documents in major languages such as Korean, English, and Chinese, as well as documents with complex formats and table structures
Built-in preprocessing features, including noise removal, distortion correction, and edge alignment. Even damaged images can be restored and recognized with high accuracy.
Beyond simple text extraction, it can recognize and dataify paragraphs, tables, and key-value structures.
For organizations where sensitive information security is crucial, we provide closed network integration and flexible APIs to respond to diverse infrastructure environments.
Includes preprocessing features for OCR optimization, including scan image correction, background removal, and angle correction.
Improved text accuracy regardless of font, language, or location through a deep learning-based character recognition engine.
Convert recognized text into various formats, including tables, CSV, and JSON. Provides output formats necessary for system integration.
Support for standard APIs for integration with external systems such as document management systems (DMS), ERP, and CRM.
Automatic data extraction and automation of work on applications, contracts, notices, etc.
Extract text from handwritten or scanned medical records, prescriptions, and other documents, and improve data management efficiency.
Digitization of format-based documents such as court decisions and administrative documents, and provision of data search functions.
Securing a foundation for documentation and learning analysis of various educational materials, such as test papers and reports.
Reduce work time and minimize errors by automating bulk document processing.
Based on an accuracy rate of over 98%, it can precisely extract information that humans often miss.
API-based integration allows for quick integration into existing workflows, minimizing barriers to adoption.
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