![]() Let’s take a look at these processes in detail. The last part is post-processing, where the data converts into the format needed, such as PDF to Google Sheets. The second part is data extraction, where the program extracts the data using methods like Optical Character Recognition (OCR) and pattern recognition using AI. The first process is data cleaning, where the artifacts are cleaned out to make it easy for the extraction tool to get the data. Most modern PDF converters use a three-step process when parsing the data from a PDF document. Businesses frequently deal with many PDF documents solely because they are difficult to edit and are therefore safer than sending a text document. Large volumes of data, including attachments and rich media formats, may be stored in PDFs across numerous pages. When data isn’t displayed in an organized, hierarchical way, it might be difficult to recognize or parse for programs like Google Sheets. There is no distinction between text, photos, tables, or other components in the PDF format. ![]() A PDF only shows text or pixels on a 2D plane at predetermined locations. Raw PDFs lack any sense of order or tags. Additionally, material saved in PDFs is by nature flat and unstructured. PDF files lack a uniform format and cannot easily be edited. PDF files use a different system than word processors and spreadsheet programs to store the document’s data, meaning the file will be unreadable if converted to a text document. Eventually, Adobe made it open source, and it became a prevalent method of sharing documents. The PDF file format created by Adobe stands for Portable Document Format.
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