IronOCR is unique in its ability to automatically detect and read text from imperfectly scanned images and PDF documents. The AutoOCR Class provides the simplest (though not always fastest) way to extract text from images and documents - because it will automatically correct and sharpen low resolution scans, remove background noise, skew, distortion and perspective as well as enhancing resolution & contrast.

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.

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 multithreaded engine accelerates OCR speeds for multi-page documents on multi-core servers.

What really 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 colours and enhancing resolution & contrast. Iron’s AutoOCR and Advanced OCR settings provide developers with the tools to achieve the best possible results, every time.

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.

Only for V.I.P