# 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."
# ❓ Features
## 1. InvoiceExtractor (Convert Invoice Pdf to Text)
### Code:
```python
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:
```python
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.
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"description": "# EXPDF2TXT\n\n## \ud83e\udd14 Overview\n\nThe expdf2txt is a versatile and efficient package designed for seamless conversion of PDF (Portable Document Format) files into TXT (Plain Text) format.\nThis package empowers users with a straightforward and reliable method to extract textual content from PDF documents, making it easily accessible and editable.\"\n\n\n# \u2753 Features\n\n## 1. InvoiceExtractor (Convert Invoice Pdf to Text)\n\n### Code: \n```python\nfrom expdf2txt.invoice2data import InvoiceExtractor\nFILEPATH = \"invoice_2001321.pdf\"\ninvocie_extractor = InvoiceExtractor(FILEPATH)\ndata = invocie_extractor.openai_extract_data(format_data=True)\nprint(data)\n```\n\n## 2. ImageExtractor (extract image from pdf)\n\n### Code: \n```python\nfrom expdf2txt.pdf2data import PDFExtractor\nFILEPATH = \"invoice_2001321.pdf\"\npdf_obj = PDFExtractor(FILEPATH)\npdf_obj.extract_image()\n```\n\n\n\n\n# \ud83d\ude80 Methods\n\n## 1. InvoiceExtractor methods :\n**openai_extract_data()** 'This method extracts text from a Invoice Pdf'\n- **Parameters:**\n 1. ***temperature (float, optional):*** The temperature parameter for the OpenAI LLM.\n 2. ***api_key (str, optional):*** The API key for accessing OpenAI services. \n Note: \"If the default API key is not functioning, please provide an alternative API key for use.\" \n 3. ***template (str, optional):*** Custom template string for document extraction.\n 4. ***format_data (bool, optional):*** If True, format the extracted data into a dictionary or list; if False, return raw output.\n 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.\"\n\n## 2. PDFExtractor methods:\n- **countpages()** 'Count the number of pages in the document.'\n- **extract_string()** 'Extract the data from the source.'\n- **extract_image()** 'Extract images from the PDF document and saves them as separate files.'\n\n\n# Dependencies\n\n- **openai**\n\n- **pytesseract**\n\n- **PyPDF2**\n\n- **PyMuPDF**\n\n# License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n# Issues\n\nIf you encounter any issues or have suggestions, please create an issue on the GitHub repository.\n\n# Acknowledgments\n\nMention any libraries or tools you used and give credit to their respective authors.\n\n\n\n\n",
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