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.

Pdf to excel python pandas