How to parse text extracted from PDF file with delimiter using Python

Title: How to Parse Text Extracted from a PDF File with Delimiter Using Python
Introduction:
Parsing text extracted from a PDF file with a delimiter in Python is a common task when working with structured data. This tutorial will guide you through the process of extracting text from a PDF file and then parsing it using a specified delimiter. We will use the PyPDF2 library for PDF extraction and demonstrate parsing with both a custom delimiter and a common delimiter like a comma.
Prerequisites:
Let's get started:
Step 1: Extracting Text from a PDF
To begin, we need to extract text from a PDF file. PyPDF2 is a popular library for this purpose. Here's how to do it:
Replace pdf_file with the path to your PDF file.
Step 2: Parsing Text Using a Custom Delimiter
You can parse the extracted text using a custom delimiter. For this example, let's assume that your custom delimiter is '#complete To use this function, provide the pdf_text obtained in Step 1 and your custom delimiter as arguments.
Step 3: Parsing Text Using a Common Delimiter (Comma)
If you want to parse the text with a common delimiter like a comma (,), you can use Python's built-in split() method:
Step 4: Putting It All Together
Now, let's put all the pieces together in a complete script:
Conclusion:
You've learned how to extract text from a PDF file and parse it using a custom delimiter or a common delimiter like a comma in Python. This can be particularly useful when dealing with structured data in PDF documents.
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