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Tag Archives: unstructured forms
Process Unstructured Data Within Insurance Cards Using LEADTOOLS Document Analyzer
The LEADTOOLS Document Analyzer SDK is one of the many new features that was introduced in version 21 of LEADTOOLS. These libraries easily and efficiently search, find, hide, highlight, and extract information from images (JPG, TIFF, PNG, PDF), PDFs, and … Continue reading
Posted in Analyzer
Tagged .NET, AI, document analyzer, Document Imaging, ICR, OCR, unstructured forms
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Seeing 2020 with LEADTOOLS Computer Vision: Forms Recognition SDK
Happy New Year, and what better way to start off the 2020 year than with 20/20 computer vision. Companies receive paper forms for gathering client’s information every day. But how are these companies recognizing this data, or are they manually … Continue reading
Posted in Forms Recognition and Processing
Tagged AI, computer vision, Forms Recognition, unstructured forms
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LEAD Granted Patent for Document Recognition Technologies
Making ideas come to life is something that LEAD has been able to accomplish over the past 29 years. LEAD recently announced its third patent, “Apparatus, Method, and Computer-readable Medium for Recognition of a Digital Document”. This patent involves using … Continue reading
Major Updates to Document and Medical SDKs Are Available
LEAD Technologies is pleased to announce the release of a major update to the LEADTOOLS Document and Medical Product lines. The headliner of this update is the Advantage OCR engine, which boasts a plethora of improvements which contribute to a … Continue reading
Posted in News
Tagged Annotation, DICOM, Document Imaging, Document Viewer, Encapsulated PDF, Forms Processing, Forms Recognition, Google Docs, HTML5, Image Processing, JavaScript, JSON, Marketing Announcement, Medical Imaging, Medical Viewer, OCR, OneDrive, PACS, PDF, Product Announcement, SharePoint, Storage Server, SVG, TWAIN, unstructured forms, Version 19, Web Scanning, Workstation, XML, Zero Footprint
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New White Paper: Invoice Forms Recognition and Processing
Have you ever been working on a zonal OCR project only to discover that the scanned documents were too different from the original document for OCR to be of any practical use? Some differences such as resolution and skew angle … Continue reading