EXPDF2TXT

🤔 Overview

The expdf2txt is a versatile and efficient package designed for seamless conversion of PDF (Portable Document Format) files into TXT (Plain Text) format. This package empowers users with a straightforward and reliable method to extract textual content from PDF documents, making it easily accessible and editable."

Quick Install

With pip:

pip install expdf2txt

❓ Features

1. InvoiceExtractor (Convert Invoice Pdf to Text)

Code:

from expdf2txt.invoice2data import InvoiceExtractor
FILEPATH = "invoice_2001321.pdf"
invocie_extractor = InvoiceExtractor(FILEPATH)
data = invocie_extractor.openai_extract_data(format_data=True)
print(data)

2. ImageExtractor (extract image from pdf)

Code:

from expdf2txt.pdf2data import PDFExtractor
FILEPATH = "invoice_2001321.pdf"
pdf_obj = PDFExtractor(FILEPATH)
pdf_obj.extract_image()

🚀 Methods

1. InvoiceExtractor methods :

openai_extract_data() 'This method extracts text from a Invoice Pdf'

• Parameters:

1. temperature (float, optional): The temperature parameter for the OpenAI LLM.
2. api_key (str, optional): The API key for accessing OpenAI services. Note: "If the default API key is not functioning, please provide an alternative API key for use."
3. template (str, optional): Custom template string for document extraction.
4. format_data (bool, optional): If True, format the extracted data into a dictionary or list; if False, return raw output. Note: "If the data is successfully converted into a dictionary, it will be returned as a dictionary. Otherwise, it will be returned as a list."

2. PDFExtractor methods:

• countpages() 'Count the number of pages in the document.'
• extract_string() 'Extract the data from the source.'
• extract_image() 'Extract images from the PDF document and saves them as separate files.'

Dependencies

• openai

• pytesseract

• PyPDF2

• PyMuPDF

License

This project is licensed under the MIT License - see the LICENSE file for details.

Issues

If you encounter any issues or have suggestions, please create an issue on the GitHub repository.

Acknowledgments

Mention any libraries or tools you used and give credit to their respective authors.