Python implements PDF-Excel

Easily convert PDF format to Excel (implemented using python)

Implementation ideas:

To convert PDF to Excel , you can use the following steps:

1. Parse PDF content: First, you need to use a third-party library in Python (such as PyPDF2, pdfmineretc.) to parse the content of the PDF file. These libraries can extract text, tables, and other elements from PDFs .
2. Extract tabular data: If the PDF contains tables , appropriate libraries and algorithms need to be used to identify and extract the tabular data. This may involve operations such as table boundary detection , cell merging , text extraction , and data structuring .
3. Create an Excel file: Create a new Excel file or open an existing Excel file using Excel libraries in Python (such as Python openpyxl, etc.).pandas
4. Write data to Excel file: Write the data extracted from PDF to a worksheet in Excel file row by row or column by column .

If you want to export a certain page of data in a PDF file into an excel file, you can use python coding to achieve it.

The picture below is the PDF file to be transferred:

Python code:

import tabula
import pandas as pd


def extract_tables_from_pdf(pdf_path, excel_path):
    # 读取PDF文件中的所有表格
    tables = tabula.read_pdf(pdf_path, pages='all', multiple_tables=True)

    # 创建一个Excel写入器
    writer = pd.ExcelWriter(excel_path)

    # 将每个表格合并到一个数据框中
    merged_table = pd.concat(tables, ignore_index=True)

    # 将合并的表格写入Excel文件中的一个工作表
    merged_table.to_excel(writer, sheet_name='All Tables', index=False)

    # 保存Excel文件
    writer.close()


# 调用函数提取表格并保存到Excel文件
pdf_file = 'input.pdf'
excel_file = 'output.xlsx'
extract_tables_from_pdf(pdf_file, excel_file)

The above code just needs to change the input file name to your file.

Conversion result

Conversion successful! ! !

What is the Tabula library?

Tabula is a library for extracting tabular data from PDF files . It is mainly used to convert tabular data in PDF into usable formats such as CSV or Excel files. Tabula is particularly suitable for processing PDF files that contain structured tabular data, such as financial statements, technical documents, or other table-intensive documents. Here are some of Tabula’s key features:

1. Accuracy : Tabula is able to accurately identify and extract tabular data in PDFs.
2. User-friendly : Tabula provides a user-friendly interface through which users can select the data area to be extracted.
3. Format preservation : It maintains the format and layout of the original table as much as possible.
4. Multi-platform support : Tabula is available for Windows, Mac and Linux operating systems.
5. Programming interface : Although Tabula provides a graphical interface, it can also be used in various programming environments, such as Python, through its programming interface (API).
6. Open Source : Tabula is an open source project, allowing users to view the source code and modify it as needed.
   The main limitation of Tabula is that it has relatively high format requirements for PDF files. If the tabular data format is not standardized or the table is mixed with other text elements, Tabula's extraction effect may not be ideal. In addition, Tabula is not suitable for extracting data in non-tabular form, such as paragraph text, images, etc.

Using Tabula in Python usually requires installing tabula-pythe library, which is a Python wrapper for Tabula. Using this library, tabular data from PDF files can be extracted directly in a Python script.

abula-py` library, a Python wrapper for Tabula. Using this library, tabular data from PDF files can be extracted directly in a Python script.