Powerful Document Recognition and OCR with AI Deep Learning Technology.
Synap OCR Pro is a AI(artificial intelligence) software that recognize text (OCR) data from various image and pdf file. It can be used to extract data from various document forms and de-identify sensitive information and guarantees high text recognition accuracy and high performance using the Deep Learning Technology.
*Allow to upload 500MB or less.
*Uploaded images can be used to improve the quality of Synap OCR Pro.
Bitmap, JPEG, PNG, Multipage TIFF, PDF
Image to Text
Photo by Camera
Attached files in email
Image Data from Fax
The highest level of accuracy for korean characters
It provides higher recognition accuracy than competitors since we can build high-quality training data through years of digital document processing know-how.
Provides easy-to-use form template tools
Usability is enhanced by providing template-based form recognition, classification and results in Key Value Pair (KVP) format. A provided template guide and examples make it easy for anyone to use.
Flexibility and Expandability
SDK (C ++, Java) and REST API provide flexibly expanded and applicable to other systems.
Recognize Document Forms and Extract Text Data
You can create customized form template through GUI form template tool FormMaker.
Detecting Table and Extract Data
Detecting table and provide table information. Table information includes table position, row/column size and merge information, cell size, and text in each cell.
Detecting and Recognize a Checkbox
Recognize checkboxes contained in various document forms, such as consent forms and applications.
Recognize Large Size Image
→ It provides high accuracy for large size images without any extra task like a split-and-merge. (ex, product image in online shop)
Conversion and Merge to PDF
Searchable PDF files can be useful for digital document archiving. And number of images and PDF files can be merged into a single readable PDF.
De-identification of sensitive information
Provides de-identification of various formats such as resident registration number and passport number through regular expression.
Forms can be classified in fields such as finance, manufacturing, public, and IT and necessary data can be extracted. The extracted data may be applied to the RPA(Robotic process automation) software.
Detects and de-identification of sensitive information such as personal information in the image. The extracted data may be applied to the DLP(Data Loss Prevention) software.
It is used to build or analyze big data by recognizing real-scene images used in business environments and daily life.
It is used to extracting data from transmitted and received fax images.