In reality, many similar products are made to work well with machine-printed, high-resolution, and perfect text or images, and so they become inaccurate or fail in real-world applications. IronOCR stands out at a higher level when it comes to OCR tasks. Do you have low-quality scans? No problem!
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The IronOCR for PDF OCR text extraction engine works straight out of the box in pure.Why IronOCR for Image or PDF OCR Text Extraction?Ĭhoosing the IronOCR solution for Tesseract management is the obvious choice if we consider its unique abilities, which include the following: Our OCR allows PDF or image characteristics to be automatically corrected if scans are of poor quality.Īs I take you through the best-in-class OCR solution available right now, you will be able to see for yourself. IronTesseract, our native C# OCR library, can recognize characters in almost human fashion from real-world images that are not always good quality and are sometimes skewed. IronOCR for text extraction is built from the ground up and with the ability to convert real-world images with 99 percent accuracy. Many OCR tools work fine in optimum conditions, but when you need something that does the job with improved stability and accuracy in any conditions, the IronOCR text extraction solution is what you need. OcrInput offers the option for PDF characteristics to be automatically corrected if scans are bad quality.ĭevelopers may specify to read and entire PDF, a selection of pages or a single crop area. This feature is not possible with conventional free Tesseract engines. Iron Tesseract can read many image formats, and also PDF documents. Debugging Azure Functions Project on Local Machine.Save image with different image processing applied.
Visual C++ Redistributable for Visual Studio.
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How to Make an Engineering Support Request for IronOCR.
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