Free convert PDF to Excel without using website, No Websites Needed: Your Friendly Guide to Safe Conversions
“Converting PDF to Excel without using a website and for free can be done through various methods. Here’s a guide to help you get data from a PDF file and convert it into an Excel format”
1. Using Microsoft Word (Free with Microsoft Subscription):
Microsoft Word, part of the Microsoft Office suite, is a powerful tool for this conversion.
a. Open PDF in Word: Launch Microsoft Word and open the desired PDF. Word will convert it into an editable document.
b. Copy Data: Select the data or tables you want, copy them (Ctrl+C).
c. Paste into Excel: Open Excel and paste the copied data (Ctrl+V). You may need to adjust the formatting.
d. Save as Excel: Click “File” > “Save As” and choose the Excel format.
2. Utilize LibreOffice (Free Alternative to Microsoft Office):
LibreOffice is a fantastic free alternative to Microsoft Office and can be used for this conversion.
a. Open PDF in LibreOffice Draw: After opening LibreOffice Draw, open the PDF file. Download Here
b. Export to Excel: Click on “File” > “Export,” choose “Microsoft Excel” from the “Save as type” dropdown menu.
c. Save File: Name the file, select the destination, and click “Save.”
3. Python Scripting (for those comfortable with coding):
If you’re comfortable with coding, you can use Python to achieve this. Below are the steps:
a. Import Libraries: You’ll need PyPDF2 to read PDFs and openpyxl to write to Excel. Download Here
b. Read PDF: Open the PDF file using PyPDF2.
c. Extract Data: Write a loop to go through the PDF and extract the necessary data.
d. Write to Excel: Create a new Excel file and populate it with the data using openpyxl.
e. Save Excel File: Save the newly created Excel file.
Here is the python
<Copy this python>
import PyPDF2
import openpyxl
# Reading PDF
pdf_file = open(‘file.pdf’, ‘rb’)
reader = PyPDF2.PdfReader(pdf_file)
# Creating Excel Workbook
workbook = openpyxl.Workbook()
sheet = workbook.active
# Extracting Data from PDF
for page_num in range(len(reader.pages)):
page = reader.pages[page_num]
text = page.extract_text()
rows = text.split(‘\n’)
for row_num, row in enumerate(rows):
cells = row.split() # Customize according to your PDF structure
for cell_num, cell in enumerate(cells):
sheet.cell(row=row_num + 1, column=cell_num + 1, value=cell)
# Saving Excel Workbook
workbook.save(‘output.xlsx’)
Converting a PDF file to Excel without using a website can be achieved in multiple ways, each with its own merits and potential challenges.
- Microsoft Word is readily available for many users but might require a paid subscription.
- LibreOffice offers a free, user-friendly approach, but the conversion may not always be perfect.
- Python provides a powerful and flexible approach but requires coding knowledge.
Choosing the method that aligns with your needs, skill set, and available tools will ensure a smooth conversion process. The accessibility of these methods makes data conversion from PDF to Excel more attainable and user-friendly.