The LEADTOOLS OCR class library provides programming software for the quick and efficient incorporation of document optical character recognition (OCR) technology into software programs. In order to improve your apps, why not make good use of more than 30 years of image development knowledge and support for 150+ file types. LEADTOOLS is a comprehensive toolkit to integrate recognition, documentation, medical, imaging, and multimedia technology into desktop, server, tablet, and mobile systems, powered by unique artificial intelligence and machine-learning algorithms. LEADTOOLS is a toolset built to provide you with the most potent image technology available, no matter your programming needs. Millions of lines of code are practically at the fingertips of application developers using a LEADTOOLS toolkit. File formats (150+), image compression, image processing, color conversion, color processing, image display, special effects, scanning/capture, common dialogs, printing, DICOM, PACS, OCR, barcodes, forms recognition, PDF, document clean-up, annotations and more are all supported by LEADTOOLS. LEADTOOLS is a collection of comprehensive toolkits for integrating raster, document, medical, multimedia, and vector imagery into desktop, server, tablet, and mobile applications. LEADTOOLS OCR comes from the award-winning line of development toolkits developed and published by LEAD Technologies Inc. The software packages under discussion are: Today, we discuss two OCR software packages and compare their pros and cons, as well as how to integrate and export their SDK in C#. OCR usually consists of three steps: opening and scanning a document in OCR software, recognizing the document in OCR software, and storing the OCR-produced document in the format of your choice. A computer can read static photographs of text and turn them into editable, searchable data using OCR software. Optical character recognition (OCR) uses an optical scanner and specialized software to identify and digitally encode written or printed text. Let's begin with the question: what is OCR? This blog will discuss OCR and related software, and examine how they perform when applied to OCR-related tasks. If you are looking for information about OCR, you are in the right place. Published ApA Comparison between IronOCR and Leadtools OCR A Comparison between IronOCR and Leadtools OCR.OcrResult.Choice Choices = character.Choices Output alternative symbols choices and their probability. Int CharacterNumber = character.CharacterNumber ĪnyBitmap CharacterImage = character.ToBitmap(ocrInput) ĭouble CharacterOcrAccuracy = character.Confidence Pages -> Paragraphs -> Lines -> Words -> Characters OcrResult.TextFlow paragrapthText_direction = paragraph.TextDirection ĪnyBitmap LineImage = line.ToBitmap(ocrInput) ĭouble LineOcrAccuracy = line.Confidence ĪnyBitmap WordImage = word.ToBitmap(ocrInput) ĭouble WordOcrAccuracy = word.Confidence įoreach (var character in word.Characters) Int ParagraphNumber = paragraph.ParagraphNumber ĪnyBitmap ParagraphImage = paragraph.ToBitmap(ocrInput) ĭouble ParagraphOcrAccuracy = paragraph.Confidence OcrResult.Barcode Barcodes = page.Barcodes ĪnyBitmap PageImage = page.ToBitmap(ocrInput) ĭouble PageRotation = page.Rotation // angular correction in degrees from OcrInput.Deskew()įoreach (var paragraph in page.Paragraphs) Using (var ocrInput = new ocrResult = ocrTesseract.Read(ocrInput) This allows us to explore, export and draw OCR content using other APIs/ Pages, Barcodes, Paragraphs, Lines, Words and Characters We can delve deep into OCR results as an object model of
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