In this case, the data entry operator has to individually open each pdf file, locate the data fields from the correct pages, then copy/paste data in case of searchable pdf. So it won’t make any sense to introduce automation, as it is going to be overkill. To be honest, if we are talking about a few pdf files per day, it’s not a huge challenge to manually extract data and key in that data in your line-of-business system. That depends on the volume, type (image/searchable), and the amount of text/data you need to process from each pdf file Should I automate extracting text from pdf files? In this case, the data entry operator can locate, copy & paste the text from pdf files to the business application and will be less time-consuming. These smart scanners extract actual text from paper documents on the fly during the scan process and the final output is a pdf file with the text which can be searched, hence the name “searchable pdf”. Nowadays there are some advanced Optical Character Recognition (OCR) based document scanners available in the market.There is no way to copy/paste the text from an image-based pdf, so an operator needs to manually read and key in a text in the destination software application. In this case, the pdf file contains a scanned image/photo of the actual document. Scanners normally produce Image-based pdf files. Extracting data from the huge volume of image-based pdf files can get really time-consuming, messy, and error-prone.It depends on the type of pdf file which can be either searchable or image-based. How harder it is to extract text from pdf files? Specific use cases to extract text from PDF files When a business needs to build analytics on extracted data to gain insight into the data currently sitting in pdf files.from an Invoice) need to be extracted and exported in a structured format like Excel, Microsoft SQL Server, etc. Key data elements from pdf documents (e.g, Invoice Number, Date, Total, etc.As a result, it slows down the business, hence adds more costs and introduces manual errors. In a document-intensive business, a huge volume of pdf documents needs manual processing for data entry which demands a huge workforce.Typical use cases to extract text from PDF files – Key data extraction PDF documents can contain all types of media in them like links, input form fields, video and can be signed electronically. Nowadays PDF files are compatible and generated by a majority of software applications. PDF was invented by Adobe and is now an open standard maintained by ISO. PDF (Portable Document Format) is a file format that is used to present and exchange documents reliably, independent of software, hardware, or operating system.
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