Optical Character Recognition (OCR)

Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image Source: Wikipedia Some document flow processes are initiated by the appearance of a document. Classic examples of such processes are: the office of incoming letters and the flow of invoices, but the document may (but does not have to) also begin with complaints, vacation requests or the flow/processing of contracts. In this case, when creating a process definition in the Dew-X process definition builder, select the “The process starts with adding a file” option. You can read more about creating processes here When running this type of process, the user will be asked to add a file each time. If it is a PDF or one of the supported image files, the image of that document will be displayed in the form window on the left OCR in form Some of the files attached in this way already have a text layer hidden under the image of the document, e.g. invoices generated to PDF directly by the invoicing program. By selecting a text fragment with the cursor, you can copy it, as it is done e.g. in the content of e-mails or MS Word files. Some, however, will be only images. In such a case (and only if you need it) press the icon: OCR icon Then wait for the content to be read. After a while, you will be able to copy text fragments directly from the document OCR example and paste it into the form fields. In the above example, copying the tax identification number and pasting it into the CSO plug-in field will allow you to download the invoice issuer’s data and automatically fill in the form fields such as name, address, zip code and city. Of course, you can copy a lot more, even the content of the attached contract. Note: Image files subjected to the OCR process will be converted to PDF format.