This Python project extracts text from PDF files using the PyPDF2 library and preprocesses the extracted text to format recipe information.

• Extracts text from PDF files
• Preprocesses extracted text to format recipe information
• Saves both raw extracted text and processed recipe text
• Easy to use and modify for specific needs

• Python 3.6+
• PyPDF2 library
• NLTK library

1. Clone this repository:

   git clone https://github.com/houmairi/pdf2text.git
   cd pdf2text
   

2. Create a virtual environment and activate it: (optional)

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the required packages:

   pip install -r requirements.txt
   

1. Place your PDF file in the books directory (or modify the pdf_path in the script).

2. To extract text from the PDF without preprocessing:

   python main.py
   

   The extracted raw text will be saved in books/extracted_text.txt.

3. To extract text from the PDF and preprocess it:

   python main.py -p
   

   The extracted raw text will be saved in books/extracted_text.txt, and the processed recipe text will be saved in books/processed_recipes.txt.

In the /books directory, you can find examples of the script's output:

• examplebook_extracted_text.txt: Contains the raw extracted text from a sample cooking book PDF.
• examplebook_processed_recipes.txt: Contains the processed and formatted recipe information.

You can modify the following in main.py:

• pdf_path: Change the input PDF file location
• extracted_text_file: Change the output location for raw extracted text
• processed_recipes_file: Change the output location for processed recipe text

You can also modify preprocess_recipes.py to adjust the recipe preprocessing logic according to your needs.

• main.py: The main script that handles PDF text extraction and calls the preprocessing function
• preprocess_recipes.py: Contains the logic for preprocessing and formatting cooking recipe information
• requirements.txt: Lists all the Python dependencies for the project

This project is open source and available under the MIT License.

Contributions, issues, and feature requests are welcome! Feel free to check issues page.