In this article, we will see how to convert a PDF to Excel or CSV File Using Python. It can be done with various methods, here are we are going to use some methods.
Method 1: Using pdftables_api
Here will use the pdftables_api Module for converting the PDF file into any other format. It’s a simple web-based API, so can be called from any programming language.
Installation:
pip install git+https://github.com/pdftables/python-pdftables-api.git
After Installation, you need an API KEY. Go to PDFTables.com and signup, then visit the API Page to see your API KEY.
For Converting PDF File Into excel File we will use xml() method.
Syntax:
xml(pdf_path, xml_path)
Below is the Implementation:
PDF File Used:
Python3
# Import Module import pdftables_api # API KEY VERIFICATION conversion = pdftables_api.Client( 'API KEY' ) # PDf to Excel # (Hello.pdf, Hello) conversion.xlsx( "pdf_file_path" , "output_file_path" ) |
Output:
Method 2: Using tabula-py
Here will use the tabula-py Module for converting the PDF file into any other format.
Installation:
pip install tabula-py
Before we start, first we need to install java and add a java installation folder to the PATH variable.
- Install java click here
- Add java installation folder (C:\Program Files (x86)\Java\jre1.8.0_251\bin) to the environment path variable
Approach:
- Read PDF file using read_pdf() method.
- Then we will convert the PDF files into an Excel file using the to_excel() method.
Syntax:
read_pdf(PDF File Path, pages = Number of pages, **agrs)
Below is the Implementation:
PDF File Used:
Python3
# Import Module import tabula # Read PDF File # this contain a list df = tabula.read_pdf( "PDF File Path" , pages = 1 )[ 0 ] # Convert into Excel File df.to_excel( 'Excel File Path' ) |
Output: