🎯 Getting Started
Follow these simple steps to start generating professional synthetic data in minutes.
1
                        Create Your Account
                            Sign up for a free account to get started immediately. No credit card required for the free tier.
                        
                        
                            Free Account Includes:
• 1,000 total rows of data
• Up to 10 generations per month
• Basic data types
• Excel-optimized CSV export
                        Create Free Account
                    • 1,000 total rows of data
• Up to 10 generations per month
• Basic data types
• Excel-optimized CSV export
2
                        Access Your Dashboard
                            Log in to your personalized dashboard where you can generate data, track usage, and manage your account.
                        
                        
                            💡 Tip: Bookmark your dashboard for quick access to all your data generation tools.
                        
                        Go to Dashboard
                    3
                        Generate Your First Dataset
                            Use our intuitive interface to specify what type of data you need. Choose from common patterns or create custom schemas.
                        
                        
                            Popular Data Types:
• Customer information (names, addresses, emails)
• Sales data (transactions, products, dates)
• User profiles (demographics, preferences)
• Financial records (accounts, balances, transactions)
                    • Customer information (names, addresses, emails)
• Sales data (transactions, products, dates)
• User profiles (demographics, preferences)
• Financial records (accounts, balances, transactions)
4
                        Download & Use
                            Download your data as Excel-optimized CSV files that import seamlessly into Excel, Google Sheets, or any database.
                        
                        
                            ✅ Best Practice: Always review your data before using it in production environments.