How to Extract Specific Data from Pdf to Excel

How to Extract Specific Data from Pdf to Excel?


The PDF stays here. In the current work environment, PDF is everywhere, such as changing digital paper, and it contains all the important business data. But if you want to receive data from PDF documents, what options do you have? Reformatting data in PDF format is usually the first thing that is played. However, in most cases, this is not true for a variety of reasons. In this article, we will discuss solutions for extracting PDF data (PDF analyzer) and how to extract specific data from pdf to excel.

    1. Start and import PDF files
    2. Click Add File and then, in the Open File dialog box, select the PDF files you want to convert. Or drag the PDF files to the list of documents in the application. You can get as many PDF files as you want. PDF reader integrated on the right.
    3. Configure the output configuration

An Excel file (.xlsx) In addition, you must convert a PDF, CSV (CSV) or plain text (.txt). If you want to apply the selected format to all imported PDFs, click Apply all. All pages, you can also choose to convert a specific page range, for example, 1.3-5.7, use commas to separate the page number.

Note. You can choose several pages on a page or add “space” or other characters that are not compatible between the page numbers, you will see an area of warning text as unacceptable.

    1. Select the output folder

To save converted Excel files, click Browse to select the output folder. Click Open to open the destination folder.

    1. Start the conversion

Conversion button, the conversion starts immediately, the actions of the control panel in the Downloads menu. After the conversion, you can open the converted files directly by clicking on the link in the list of documents.

State to recover data from PDF documents

Since the publication of PDF files in the early 1990s, the portable document format (PDF) has reached enormous acceptance rates and can be found in the current business environment. PDF files are a solution to change business data with internal and commercial partners. Some popular examples of PDF documents in areas such as the supply chain, procurement, and corporate governance:

  • Reports
  • Offers
  • Vouchers
  • Prices and lists of products
  • Human resources forms

How to extract data from PDF?

Manual data transfer of multiple PDF documents

Let’s be realistic. If you have a few PDF documents, you can copy and paste faster. The process is simple: open each document individually, select the text you want to extract, copy it and paste it where you need the data.

Even if you want to extract table data by selecting a table with the mouse pointer and entering the data in Excel, you will get satisfactory results in many cases. You can also use the free Tabula tool to extract table data from PDF files. Tabula displays the spreadsheet file you probably need for manual processing. Tabula does not include OCR engines, but it’s a good place to start when it comes to your PDFs (no checks).

Outsource manual data entry

The outsourcing of data entry is a big business. There are literally hundreds of data providers that you can hire. To provide fast and cheap services, these companies employ an army of data entry personnel in countries with low salaries involved in weightlifting. Data providers use advanced techniques to accelerate the process, but that the entire workflow is the same as the one described above: Open each document, select the correct text area and place the data on a database.

The outsourcing of manual data entry has a prohibitive cost. Finding the right resource, negotiating the terms and explaining your specific use case is economical when you need to process large volumes of documents. However, it would be more effective to allow automated programs to do this work (see the next chapter).

Fully automatic data extraction program

Automated solutions to extract PDF data from simple OCR tools to custom document processing platforms and workflow automation platforms. However, most systems have a similar workflow:

  • Collect many model documents that act as learning data
  • Write an order for each type of document you want to process.
  • Create, edit and send documents automatically

Most modern solutions use a variety of diverse ways of learning the data extraction system. A simple form, z. For example, Zonal OCR where the user uses the point and click system to select specific locations in the document. The most advanced methods are based on regular expressions and pattern recognition.