[vc_row pix_particles_check=””][vc_column][vc_column_text]PDF files have made data handling a lot easier than before. The PDF format helps you share important data across platforms without losing original formatting. Further, you can either create a PDF document where the entire text is prepared by you or can even convert files like an image into a PDF file for easier sharing.
However, at times we require the data stored in these PDF files for external processing also. In certain situations, there needs to be a mechanism by which the data in a PDF file can be extracted as it is, without any changes. A file that only contains text and was originally of the same format is easily processed for this task compared to the one where an image was scanned and then converted into a PDF. But today, to make life easier for end-users, updates to optical character recognition technology were developed to support data extraction from images also.
To extract data selectively from scanned or un-scanned PDF files, a special type of OCR which is being used these days is known as Zonal OCR. In this article, let us discuss what Zonal OCR is all about, and how it can be a useful addition to your business.[/vc_column_text][heading title_color=”heading-default” title_size=”h3″ position=”text-left” title=”An Introduction to Zonal OCR” css=”.vc_custom_1649676536061{padding-bottom: 15px !important;}”][vc_column_text]As discussed before, Zonal OCR software is considered the second generation of the traditional Optical Character Recognition technology. With an aim to facilitate the extraction of data from highly specific areas of a PDF file, Zonal OCR is a very useful tool for the faster digitization of data. The data present in an image positioned on a particular page in a PDF file can be easily extracted with the help of a Zonal OCR. So, to target and pull out data from specified parts of a PDF, the zonal OCR is considered the best.
Traditional Optical Character Recognition technology is only capable of extracting text without being specific about requirements or details. Therefore, any complexities in a document like the presence of images, texts, or specific formatting were not catered to by the traditional OCR software. With the coming of zonal OCR technology, targeted data extraction from PDF files has become possible. This has been hailed as the most relevant update to the Optical Character Recognition technology, allowing users to get what they really want.[/vc_column_text][heading title_color=”heading-default” title_size=”h3″ position=”text-left” title=”Common Forms of Zonal OCR” css=”.vc_custom_1649676605680{padding-bottom: 15px !important;}”][vc_column_text]Zonal OCR is very commonly integrated with document scanning software so as to support data extraction from specific data fields only. Zonal OCR works by scanning for index numbers on the pages of the PDF document, allowing it to create zones from where the actual extraction will be done. The Dynamic Forms feature of Zonal OCR then reorganizes the content to help in the customization of data extraction. This happens by letting users search through documents using regular expressions, even for complex search parameters.
In many cases where the bulk processing of documents is intended, Zonal OCR templates are created by users. This involves specifying the zones that one wants to process in certain specific documents. The use of regular expressions to make searches within the PDF file are a hallmark of data parsing applications built using Python. Not just for bulk processing, even for individual and occasional use, Zonal OCR works wonders. Finding some lines, phrases, words, etc., from a document within seconds is very much possible with Zonal OCR scanning.
A zone designer also works in a similar way, supporting such targeted data extraction even while being part of some other application. This means that zone designers allow users to avail the benefits of zonal OCR without especially investing in a new third-party OCR application. Companies look forward to purchasing such software that offers the best of everything, helping them automate the extraction and sharing of data in a secure environment.[/vc_column_text][heading title_color=”heading-default” title_size=”h4″ position=”text-left” title=”Zonal OCR Tesseract” css=”.vc_custom_1649676760595{padding-bottom: 15px !important;}”][vc_column_text]The Tesseract OCR has exceptional text localization capabilities. It allows users to automatically create bounding boxes or zones in every region of the document. Once these regions get created, extraction becomes easy and feasible. The Tesseract OCR has all box OCR capabilities.[/vc_column_text][heading title_color=”heading-default” title_size=”h4″ position=”text-left” title=”Zonal OCR Adobe” css=”.vc_custom_1649676860812{padding-bottom: 15px !important;}”][vc_column_text]Zonal OCR in Adobe is the one that has been used by almost everyone multiple times. The Adobe Zonal OCR works when users select the ‘Edit PDF’ tool. Acrobat automatically converts the entire document into an editable copy. You can simply click on the text element that you wish to edit once this is done.[/vc_column_text][heading title_color=”heading-default” title_size=”h4″ position=”text-left” title=”KlearStack Zonal OCR ” css=”.vc_custom_1649676894658{padding-bottom: 15px !important;}”][vc_column_text]KlearStack has combined the advancements of Artificial Intelligence with Optical Character Recognition Technology to enhance data extraction capabilities. By leveraging the benefits of Computer Vision, Natural Language Processing, etc., our OCR solution scans every region of the document accurately. To enjoy the experience of the best zonal OCR software that understands all complexities of contemporary data, switch to KlearStack today.[/vc_column_text][/vc_column][/vc_row]