IronOCR for .NET
一个支持使用高级光学字符识别(OCR)从图像和 PDF 中准确提取文本的 .NET 库。
由以下开发商制作:Iron Software
ComponentSource开始代理销售的日期:2017年
Pass IronOCR single or multi page scanned images to receive all text, barcode, & QR content in return. The OCR library provides a set of classes to add OCR functionality into Web, Desktop or Console .Net Applications. Input formats can include PDF, JPG, PNG, GIF, BMP and TIFF.

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The OCR (Optical Character Recognition) engine views pages formatted with multiple popular fonts, weights, italics, and underlines for accurate text reading. Cropping classes further assists OCR to perform at speed and with pinpoint accuracy. Iron’s multi-threaded engine accelerates OCR speeds for multi-page documents on multi-core servers.


What makes IronOCR special is its ability to read badly scanned documents. Its unique pre-processing library reduces background noise, rotation, distortion and skewed alignment as well as simplifying colors and enhancing resolution & contrast. Iron’s AutoOCR and Advanced OCR settings provide developers with the tools to achieve the best possible results, every time.

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Language packs available for: Arabic, Simplified Chinese, Traditional Chinese, Danish, English, Finnish, French, German, Hebrew, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Swedish. Other languages can be supported by request.


IronOCR outputs content as plain text and barcode data. An alternative structured data object model allows developers to receive all content in the format of structured Headings, Paragraphs, Lines, Words and Characters for input directly into .Net applications.


IronOCR puts an advanced OCR and Barcode reading engine in your own hands quickly with fully Intellisense support and a Visual Studio installer. Whether installing directly from NuGet with Visual Studio or downloading the DLL, you'll be set up in no time.


Iron Software's development team are always on hand to help developers with every step of the journey, from helping to get a prototype working, to licensing, to tips and tricks for troubleshooting production deployment.

