Metadata refers to data about a piece of data. It is not a part of the main content of a document or a webpage that you might be consuming. Instead, it is the information about a document or webpage. This information is generally hidden in the code of the type of file you are looking at and might even be possible to consume through the options section of the file.
For a PDF file, the metadata can contain a number of fields. If you are in the detailed view on Microsoft Windows, the fields that you are looking at are all metadata of a file. Other fields of metadata can include the date and time of the last modification of the file, the date and time the file was created, the author of the file, the software used for the creation of the file, etc.
Metadata is an important part of any file, especially PDFs. Let us look at just some of the reasons why metadata is so important.
The metadata of a PDF file contains integral information about the file. With PDF becoming the document format of choice across the world, having updated PDF metadata can be extremely important, especially in professional settings. A customer or client that you are sending your file to might be interested in knowing who created the file and whether it was created or modified before or after the cutoff date. All this information is present as a part of the metadata of the file. Additional information such as comments and directions for usage can also be added as a part of the PDF metadata for the aid of the file consumer.
Professional documents are not the only type of files that are regularly consumed as a PDF. Everything, from academic notes to government notifications and ebooks, is now present as PDFs. Any normal domestic user can have hundreds of PDFs on a personal computer. If such a user now goes out to look for a particular file, it can be hours, even days before the file is found if it hasn’t been named properly. If the file has PDF metadata, you do not need the name of the file to search for it. You can easily search for it if you know the author, when it was created or downloaded, and any specific keywords that you might have added to the PDF metadata.
If you have scores of related PDF files, you might often need to search for a particular type of file. An example of this is if you mostly consume ebooks in the form of PDFs and have hundreds of ebooks stored on your personal laptop. If you need to look for books by a particular author and do not remember the exact names of all these books, you will have great difficulty in sorting. On the other hand, if the ebooks have PDF metadata, including the name of the author, you can use any simple library management software and filter your ebooks by author name.
If you publish a document for public consumption, you likely want it to be searchable by the greatest number of people. However, if a document has no PDF metadata, users who do not know the exact name of the file will have considerable difficulty, searching for it, whether on a local cloud or on Google. PDF files with metadata increase the number of keywords using which a file can be searched.
Some PDF viewers might also display the metadata on a panel while you are viewing the PDF. The most popular PDF viewer is Adobe Acrobat. In Adobe Acrobat, you can view metadata by going to the file option on a PDF document and clicking on Document Properties.
If the file is editable, you will also be able to add additional PDF metadata to the files across a number of different fields.
Extracting metadata from PDF is clearly very important and can help authors as well as consumers in a number of ways. PDF metadata is nearly as important as the content of the PDF itself, and with PDFs becoming the document format of choice in multiple domains, its importance will only be increasing in the future.
In today’s dynamic business world, filing and archiving official documents in the digital form makes it handy, and works wonders in the future or in unforeseen circumstances.
Optical Character Recognition (OCR) is the technology to convert an image of text into machine-readable text. It is the underlying technology for various data extraction solutions including Intelligent Document Processing. However, OCR is not smart enough to figure out the context in a document - it works simply by distinguishing text pixels from the background and finding a pattern. This limitation could cause inaccuracy in captured data that could directly impact the output of your data extraction model.
Accounts payable is a key financial function for any business. Corporations can have thousands of suppliers; even for relatively smaller businesses, the number of suppliers could be in hundreds. All the invoices they receive from these suppliers come in multiple formats, layouts, and templates - some semi-structured, some unstructured. Therefore, firms expend time and resources to capture invoice information through manual data entry and verification of accounts payable. Manual data entry is not feasible in the long run, definitely not on a large scale. Before we talk about how intelligent invoicing solves the problems associated with manual invoicing, let’s discuss the challenges in much detail.
As most of an organization's information is available in an unstructured format, processing it requires an automated system that can handle documents with minimum human interaction. OCR is one such technology, but its scope is limited as it requires human interaction and is highly dependent on the layout and structure of the document to be processed.These limitations are overcome by Intelligent Data Extraction.Using artificial intelligence, the Intelligent Data Extraction technology extracts data from documents and transforms it into useful information through the extraction process. It functions as a singular tool for extracting information from any type of document and aids in optimizing company operations.