There are multiple advantages to converting a PDF to Excel. After all, it's the de facto standard for a reason! What are the advantages of converting PDF files to Excel?īy using a converter, you can effortlessly export charts, tables, and all sorts of other data into a tool that is designed to analyze and neatly visualize data sets – that is, Microsoft Excel. And if you've ever tried copying and pasting data from a PDF document into an Excel spreadsheet, then you know just how frustrating this experience can be, not to mention potentially dangerous since you can miss out on vital data or even break the formatting of the file! Luckily, there is a solution, and it's called PDF to Excel converter. But while they excel at many things (such as multiplatform support or long-term archival), they may not always be the perfect medium when a user wants to manipulate or extract data from them. To convert to CSV, XML or HTML simply change c.xlsx to be c.csv,Ĭ.xml or c.htmlrespectively.By this point, it is safe to say that PDFs have become the Swiss army knife of the office world. You would like it to be called upon output: output. Finally, the third line is telling Python to convert the file with name input.pdf to xlsx and also what This means here at PDFTables we know which account is using the API and how many Line is calling the PDFTables API with your unique API key. The first line is simply importing the PDFTables API toolset, so that Python knows what to do when certain actions are called. To find your converted spreadsheet, navigate to the folder in your file explorer and hey presto, you've converted a PDF to Excel or CSV with Python! cd C:/Users/Bob) to the folder you saved your convert-pdf.py script and PDF in, then run the following command: python convert-pdf.py Open your command line/terminal and change your directory (e.g. If you don’t understand the script above, see the script overview section. Now, save your finished script as convert-pdf.py in the same directory as the PDF document you'd like to convert. Replace output with the name you'd like to give the converted document.Replace input.pdf with the PDF you would like to convert.Replace my-api-key with your PDFTables API key, which you can get here.Now, you'll need to make the following changes to the script: #replace c.xlsx with c.html to convert to HTML #replace c.xlsx with c.xml to convert to XML #replace c.xlsx with c.csv to convert to CSV Or if you'd prefer to install it manually, you can download it from python-pdftables-api then install it with: python setup.py install Step 3Ĭreate a new Python script then add the following code: import pdftables_api If git is not recognised, download it here. In your terminal/command line, install the PDFTables Python library with: pip install git+ Pip gives a simple way to install the PDFTables API Python package.įor this tutorial, I'll be using the Windows Python IDLE Shell, but the instructions are almost identical for Linux and Mac. Downloading Anaconda means that pip will also be installed. You can use either Python 3.6.x or 2.7.x, as the PDFTables API works with both. If you haven't already, install Anaconda on your machine from Anaconda website. In order to properly test the library, make sure you have a PDF handy! Step 1 Here's an example of a PDF that I've converted with the library. In this tutorial, I'll be showing you how to get the library set up on your local machine and then use it to convert PDF to Excel, with Python. Our API will enable you to convert PDFs without uploading each one manually. You can convert your PDF to Excel, CSV, XML or HTML with Python using the PDFTables API.
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