/Invoice_Parser_Apps_With_Real_Time_Database

Primary LanguageCMIT LicenseMIT

Invoice Parser App

Summary

The Invoice Parser App is a web-based tool built using generative AI multimodel with Streamlit for parsing invoice images to extract relevant information such as invoice number, date, total amount, and item details. It provides a user-friendly interface for uploading one or more invoice images, parsing them, and generating a summary Excel file containing the parsed data.

Installation

To use the Invoice Parser App locally, follow these steps:

  1. Clone the repository:
git clone https://github.com/your-username/invoice-parser-app.git
cd Invoice_Parser_Apps_With_Real_Time_Database
  1. Create a virtual environment based on the provided requirements.txt file:
python -m venv venv
source venv/bin/activate  # On Windows, use venv\Scripts\activate
pip install -r requirements.txt

How to use

  1. Activate the virtual environment:
source venv_invoice/bin/activate  # On Windows, use venv\Scripts\activate

  1. Provide the GOOGLE_API_KEY

    • Create .env file
    • Copy and paste your GOOGLE_API_KEY in the file GOOGLE_API_KEY = ""

  2. Run the Streamlit app:

streamlit run app.py

Additional Information

  • This project uses Streamlit, a Python library for building web applications, and the PIL (Python Imaging Library) for image processing.
  • Make sure to have Python installed on your system before setting up the project.
  • For any issues or feature requests, please feel free to open an issue on the GitHub repository.