XImage.OCR.Language.Hangul
Advanced tools
XImage.OCR for C# library enables OCR feature to read Hangul text from image, scanned PDF in .NET Web, Windows applications. Coming soon. This OCR language package includes : * Hangul language This nuget package includes : * OCR (Optical Character Recognition) engine to convert image, multi-page TIFF, PDF to editable text content in .NET apps * Hangul language supported * Image document cleanup library to process image with digital noise, distortion, skewing Additional features : * QR Code and 20+ barcode reading * Convert scanned PDF to text editable PDF documents Input : * Raster images : bitmap, png, jpeg, gif * Document : multi-page TIFF, PDF Compatible with : * .NET Standard 2.0 * .NET 8, .NET 7, .NET 6, .NET 5 * .NET Core 3.x, & 2.x * .NET Framework 4.6 Online Guides : * C# Developer Guide : https://www.rasteredge.com/how-to/csharp-imaging/ocr-sdk/ * Support : support@rasteredge.com
This package enables OCR feature to read Hangul text from image, scanned PDF in .NET Web, Windows applications.
coming soon.
This OCR language package includes :
High quality and easy to use library.
FAQs
XImage.OCR for C# library enables OCR feature to read Hangul text from image, scanned PDF in .NET Web, Windows applications. Coming soon. This OCR language package includes : * Hangul language This nuget package includes : * OCR (Optical Character Recognition) engine to convert image, multi-page TIFF, PDF to editable text content in .NET apps * Hangul language supported * Image document cleanup library to process image with digital noise, distortion, skewing Additional features : * QR Code and 20+ barcode reading * Convert scanned PDF to text editable PDF documents Input : * Raster images : bitmap, png, jpeg, gif * Document : multi-page TIFF, PDF Compatible with : * .NET Standard 2.0 * .NET 8, .NET 7, .NET 6, .NET 5 * .NET Core 3.x, & 2.x * .NET Framework 4.6 Online Guides : * C# Developer Guide : https://www.rasteredge.com/how-to/csharp-imaging/ocr-sdk/ * Support : support@rasteredge.com
We found that ximage.ocr.language.hangul demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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