Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This project aims to create a web application that runs on any operating system (Windows, Linux, Mac) to read, review, analyze, and transcribe sales invoice data, including various formats such as fiscal machine invoices and digital invoices. The application will also allow users to export this data to Excel in a specified format.

## CORE FEATURES
1. **Invoice Data Extraction**: Automatically read and extract data from various types of sales invoices using OCR (Optical Character Recognition) technology.
2. **Data Analysis**: Provide tools for users to review and analyze the extracted data, including visualizations and summaries.
3. **Retention Analysis**: Analyze VAT retention from sales and purchases, presenting insights and summaries to the user.
4. **Excel Export Functionality**: Allow users to export analyzed data into Excel format, adhering to user-defined templates.
5. **User Authentication**: Secure user login and data management with role-based access for different user types (admin, user).
6. **Responsive Design**: Ensure the application is fully responsive, providing an optimal experience on desktop and mobile devices.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography
- **Color Mode**: Light theme with dark text on light backgrounds
- **Primary Color**: #1978E5 (accent for buttons, links, highlights)
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs
- **Layout**: The main layout will feature a top navigation bar, a central content area for displaying invoice data and analysis, and a footer with contact information. The design will prioritize usability and clarity, ensuring that users can easily navigate through the features.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Redux or Context API (specify based on project needs)

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript, install dependencies including Tailwind CSS and shadcn/ui.
2. **Create UI Components**: Develop reusable UI components using Tailwind CSS for styling, ensuring a consistent and minimalist design.
3. **Implement Invoice Data Extraction**: Integrate OCR technology to read and extract information from invoices.
4. **Build Data Analysis Tools**: Create features for data analysis and visualization, allowing users to understand their invoice data better.
5. **Add Excel Export Functionality**: Implement export options that allow users to save their analysis in Excel format.
6. **Setup User Authentication**: Implement a user authentication system, allowing secure logins and role management.
7. **Ensure Responsiveness**: Test and refine the application layout to ensure it works seamlessly across different screen sizes and devices.
8. **Testing and Deployment**: Perform testing to ensure all features work as expected, then deploy the application to a hosting service.

## USER EXPERIENCE
Users will start by logging into the application, where they can upload their invoices for data extraction. Once the data is processed, they will be able to analyze it through intuitive dashboards and visualizations. Users will have the option to export their findings into Excel with a few clicks. The interface will be designed to be straightforward, allowing users to navigate easily between features while maintaining a clean and aesthetically pleasing experience.