Review of Book2SocialFeed: PDF Text Extraction and Chunking Tool

Core Capabilities

Book2SocialFeed is a Python script designed to facilitate the extraction of text content from PDF files. It not only extracts text but also chunks it into manageable segments and outputs these segments as JSON files. This makes it particularly useful for those looking to repurpose book content into social media posts or other short-form content.

Additional Features

In addition to text extraction and chunking, the script also outputs the text in HTML format, providing a styled representation suitable for web display.

Installation Guide

To use the Book2SocialFeed script, you'll need to have Python 3.6 or later installed on your system. Follow these steps to get started:

1. Clone the repository using `git clone https://github.com/thethmuu/book2socialfeed.git`.

2. Navigate to the project directory with `cd book2socialfeed`.

3. Install the necessary packages by running `pip install -r requirements.txt`.

Running the Script

After installation, you can run the script by executing `python main.py`. The script will prompt you to enter the name of the PDF file, the number of pages to skip, and the desired chunk size. The outputs will be saved as `output.json` and `output.html`.

Software Requirements

The script requires Python 3.6 or higher and utilizes the PyPDF2 library for handling PDF files. Additionally, the PyQt5 library is used for certain functionalities within the script.

Output Details

The script generates two primary outputs: a JSON file (`output.json`) containing an array of text chunks, and an HTML file (`output.html`) that provides a styled representation of these chunks.

How to Contribute

Contributions to Book2SocialFeed are welcomed and encouraged. If you wish to contribute, please visit the GitHub repository and check the issues page for any ongoing discussions or feature requests. Pull requests are also welcome, and please ensure that any new contributions adhere to the project's coding standards.