![]() ![]() Being a leader in the digital documents space, we’re pleased to be at the forefront of this new era. "With COVID-19 urging companies to accelerate their digital transformation projects, organizations are forced to explore new ways of accessing and managing their data – existing and new. Since 2006, its development has been sponsored by Google. Tesseract supports over 100 languages and was originally developed by Hewlett-Packard (‘85), and was released under the Apache open source license in 2005. The iText pdfOCR add-on is built on the Tesseract OCR engine technology. With repurposing data with the low-code document generator iText DITO® often being the final cherry on the cake. Logical follow-up actions could be data extraction with iText pdf2Data, secure content redaction with iText pdfSweep, or multilanguage document recreation with iText pdfCalligraph. Without machine-readable text, printed or scanned documents cannot be searched, indexed or interpreted. IText pdfOCR, which is part of the renowned iText 7 PDF SDK, offers Optical Character Recognition (OCR) functionality to convert printed text in scanned documents and images into a fully searchable PDF/A-3u compliant format (PDF version 1.7) and make accessing those texts easier and faster. iText Group NV, a globally recognized thought-leader and innovator in PDF libraries and solutions, today announced the launch of iText pdfOCR, the newest addition to their award-winning software offering. Click No to make no further edits to the file.Ghent, Belgium – June 30, 2020. Click Yes to continue and edit the scanned document. Note: You may get a low resolution scan warning indicating that editing the document may not produce the best results. Now that the text is editable, you can choose to replace the text if necessary. Once you use the Recognize Text tool to convert your scanned image into a usable PDF file, you can select and search through the text in that file, making it easy to find, modify, and reuse the information from your old paper documents.Select the Find text tool and enter text to search in the Find field. Click Recognize Text to convert the image to text that can be selected and edited. If necessary, click the Language drop-down and choose the appropriate language from the list of options. Select Recognize Text > In This File to invoke the text recognition sub menu. Note: Refer to Scan documents to PDF for more details on how you can change the default settings to enhance scanned documents. At this point, you’ve got an improved image of your document, but you still cannot edit, select, or search the text. When you are done, click Close to return to the main Enhance Scans menu. In the resulting enhanced image preview, drag the Adjust enhancement level slider left or right to decrease or increase the contrast. Align the dots along the edges of the document to fix the skewing and click Enhance Page. Auto Detect is the default and works on most scanned documents.Drag the blue dots to frame the part of the page you want to preserve. Select the correct option from the Content drop down. Select Enhance > Camera Image to bring up the Enhance sub menu. Note: The initial scanned document or photo of the document needs to be saved as a PDF. Open the file of one of your own scanned documents or an image of your document in Acrobat DC.In the right hand pane, select the Enhance Scans tool. Note: You may wish to save the PDF with a new file name to preserve the original document’s contents. Save the file to complete the conversion!.Click No to make no further edits to the file. ![]() Select the Find text tool and enter text to search in the Find field. Once you use the Recognize Text tool to convert your scanned image into a usable PDF file, you can select and search through the text in that file, making it easy to find, modify, and reuse the information from your old paper documents. Select Tools > Recognize Text > In This File to invoke the text recognition sub menu. Select File > Open, and then navigate to the folder on your computer where the PDF you wish to convert is located. ![]()
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