https://github.com/smartcraze/invoice-extractor
Google Generatie Ai - Invoice Extractor
https://github.com/smartcraze/invoice-extractor
ai gemmini invoice-extractor
Last synced: 4 months ago
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Google Generatie Ai - Invoice Extractor
- Host: GitHub
- URL: https://github.com/smartcraze/invoice-extractor
- Owner: smartcraze
- Created: 2024-07-19T06:35:48.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2024-07-19T07:12:00.000Z (11 months ago)
- Last Synced: 2025-01-03T00:24:39.687Z (5 months ago)
- Topics: ai, gemmini, invoice-extractor
- Language: Python
- Homepage: https://khunchusobillse.streamlit.app/
- Size: 2.93 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Multilanguage Invoice Extractor
A Streamlit application to extract and understand information from invoice images using Google's Generative AI.
## Features
- Upload invoice images in JPG, JPEG, or PDF format.
- Extract and answer questions based on the uploaded invoice image using Gemini Pro Vision.
## Requirements
- Python 3.7+
- Streamlit
- python-dotenv
- Pillow (PIL)
- google-generativeai
## Installation
1. Clone the repository:
```sh
git clone https://github.com/yourusername/multilanguage-invoice-extractor.git
cd multilanguage-invoice-extractor
```
2. Create and activate a virtual environment (optional but recommended):
```sh
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
3. Install the dependencies:
```sh
pip install -r requirements.txt
```
4. Create a `.env` file in the project root directory and add your Google API key:
```env
GOOGLE_API_KEY=your_google_api_key
```
## Usage
1. Run the Streamlit application:
```sh
streamlit run app.py
```
2. Open your web browser and go to `http://localhost:8501`.
3. Upload an invoice image and input your prompt to get the response based on the uploaded invoice image.
## Project Structure
```multilanguage-invoice-extractor/
├── app.py
├── requirements.txt
├── .env
└── README.md
```
- `app.py`: Main application file containing the Streamlit app code.
- `requirements.txt`: List of dependencies required for the project.
- `.env`: Environment file to store the Google API key.
- `README.md`: Project documentation.
## Acknowledgements
- [Streamlit](https://streamlit.io/)
- [Pillow](https://python-pillow.org/)
- [google-generativeai](https://pypi.org/project/google-generativeai/)