Invoicify-AI 🧾🚀

A Flask application that extracts invoice details from uploaded PDFs and images using pdfplumber, pytesseract, and the Cohere API for natural language processing. The extracted data is displayed in a user-friendly format and can be downloaded as JSON.

✨ Features

• 📂 Upload PDF or Image Files: Supports PDFs and images in PNG, JPG, JPEG formats.
• 🤖 AI-Powered Extraction: Utilizes Cohere API to extract invoice details such as customer information, product details, and total amount.
• 👌User-Friendly Interface: Simple and intuitive UI for uploading files and viewing results.
• 💾 Downloadable JSON: Extracted data can be downloaded as a JSON file.
• 🚀 Deployment Support: Ready for deployment on Vercel.

📋 Getting Started

Prerequisites

• 🐍 Python 3.8+
• 📦 pip (Python package installer)
• 🔑 Cohere API key (Add this to a .env file)

Installation

1. 🔗 Clone the Repository

   git clone https://github.com/Saherpathan/invoicify-ai-cohere.git
   cd invoicify-ai-cohere

2. 🌐 Create a Virtual Environment and Activate It

   python -m venv venv
   source venv/bin/activate   # On Windows use `venv\Scripts\activate`

3. 📥 Install the Required Dependencies

   pip install -r requirements.txt

4. 🔧Set Up Environment Variables

   Create a .env file in the root directory and add your Cohere API key:

   COHERE_API_KEY=<your_cohere_api_key>

5. ▶️ Run the Flask Application Locally

   python api_call.py

   The app will be accessible at http://127.0.0.1:5000.

Deployment

Deploying to Vercel

1. 🛠 Install Vercel CLI

   npm install -g vercel

2. 🚀Deploy Your Application

   vercel

   Follow the prompts to deploy. Vercel will provide you with a URL where your app is live.

🌐 Environment Setup on Vercel

When deploying to Vercel, make sure to set the COHERE_API_KEY in the Environment Variables settings on the Vercel dashboard.

Folder Structure

invoicify-ai-cohere/
│           
├── requirements.txt        # Python dependencies
├── vercel.json             # Vercel deployment configuration
├── .env                    # Environment variables 
├── /api                    # Main Flask application script
|   └── api_call.py
│   └──/templates
│       ├── index.html          # Home page for file uploads
│       └── result.html         # Result page displaying extracted details
├── /output                 # JSON outputs of extracted details
├── /uploads                # Uploaded files
└── README.md               # Project documentation

🤝 Contributing

We welcome contributions to this project. To contribute:

1. Fork the Repository: Click the "Fork" button at the top right of this repository.

2. Create a New Branch:

   git checkout -b feature/your-feature-name

3. Commit Your Changes:

   git commit -m "Add your message here"

4. Push to the Branch:

   git push origin feature/your-feature-name

5. Submit a Pull Request: Open a pull request to the main branch with a description of your changes.

📜 License

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

✉️ Contact

For any questions or suggestions, please contact: [email protected]