 PDF documents such as invoices, bank statements and many others are extremely common and critical in a diverse range of business workflows. Today, for many businesses, parsing and extract data from this document is largely a manual effort which ultimately prone to errors. Consider a document type like invoices, which can be laid out in thousands of different ways. Invoices from different companies or even different departments within the same company may have slightly a different formatting. However, there is a common understanding of the structured information that an invoice should contain such as an invoice number, an invoice date or the amount due and the list of items for which the invoice was sent. So is there any way using which we can automatically extract all this data by avoiding manual work? Well, ByteScout's DocumentParser template editor tool, as per its name, is a template-based document parsing engine which can parse and extract your important data from documents such as invoices, insurance quotations and many others using premade templates. There is no programming knowledge is required to create and maintain data extraction templates. This tool is not only extract data from normal fields like company name or contact person or phone number etc from PDF. Say if your PDF contains structured tables or scanned images then it can also extract data from it very easily. So how it works? Well, as a sample document, let's consider this sample insurance document following a fixed format. Now the next step is define a set of parsing rules or a template by selecting the area from which you want to extract your required data using this no-code user-friendly parsing tool. And once you're ready or confirm with the extraction region then just click on run template and that's it. Your PDF will now automatically be processed by the DocumentParser tool and you will get your data in a matter of seconds in different different formats like JSON, CSV or YAML or your custom formats. Alright, DocumentParser template editor tool offers a simple and intuitive parsing interface that allows you to build template to extract only the data that you need. Now let's go through some of the important features of this tool. So using DocumentParser tool, one can easily generate custom identification template using built-in template editor for faster and accurate document processing. And this tool has many preset templates to save your time and extract data from the given PDF. These templates are geared for PDF with text. And if your PDF document contains the multiple tables then this tool supports the usage of multiple tables and you can easily extract out your important data from them. And with this tool, you can work offline without internet connection using an on-premise DocumentParser SDK. And using this tool, one can easily extract text from scanned documents resided within the PDF. For that, thanks to built-in AI-powered OCR engine which extracts out data from the scanned documents with multi-language support. And you can use PDF.co web API to connect DocumentParser with other or your own application and dramatically increase your efficiency and workflow. And currently this tool support output of your PDF data in CSV, XML and PDF to JSON and in plain text. And finally, you will find a bunch of source codes and documentation that makes it easy to use this tool in your application. Alright, there are many more features you can explore it once you will start to using it. You can explore this tool from this URL. So let's jump into the next video and see how to use this tool.