How to convert PDF file to Excel file using Python?
To convert a PDF file to an Excel file using Python, you can use the tabula-py library. Here's a step-by-step code example:
  1. Install the required library by running the following command in your terminal or             command prompt:
pip install tabula-py
  2.Import the necessary modules in your Python script:
    import tabula
  3.Specify the path to your PDF file:
    pdf_path = "path/to/your/pdf/file.pdf"
  4.Use the read_pdf() function from tabula to extract the tabular data from the PDF and         convert it to a pandas DataFrame:
       df = tabula.read_pdf(pdf_path, pages='all')
        Note: The pages='all' argument indicates that you want to extract data from all             pages of the PDF. You can specify specific page numbers or a range if needed.
   5.If the PDF contains multiple tables, you can access them using indexing on the                        DataFrame df. For example, to access the first table:
         table1 = df[0]
    6. Export the extracted table(s) to an Excel file using the pandas to_excel()                                 function:
            excel_path = "path/to/output/excel/file.xlsx" table1.to_excel(excel_path,                            index=False)
        Make sure to replace "path/to/your/pdf/file.pdf" with the actual path to your PDF file             and "path/to/output/excel/file.xlsx" with the desired path for the output Excel file.
Here's the complete code snippet:
                                            import tabula
                    pdf_path = "path/to/your/pdf/file.pdf"
                    df = tabula.read_pdf(pdf_path, pages='all')
                    table1 = df[0]  # Access the first table
                    excel_path = "path/to/output/excel/file.xlsx"
                    table1.to_excel(excel_path, index=False)

 
0 Comments: