Organize Your Money with Categories

TL;DR

Categories are the backbone of your financial picture. rogat.ai comes with 20+ pre-built categories — Housing, Transportation, Groceries, Dining, Utilities, Entertainment, and more — each with subcategories for granular tracking. You can create your own, edit or delete any of them, and let AI auto-tag your transactions so everything stays organized without manual work.

What You'll See

• Pre-built Categories — Housing, Transportation, Groceries, Dining, Utilities, Entertainment, Shopping, Health & Fitness, Education, Travel, Kids, Pets, Gifts & Donations, Subscriptions, Transfer, Financial, Taxes, and Uncategorized. Each has an emoji icon for quick recognition.
• Subcategories — Expand any parent category to see its subcategories. Housing breaks down into Rent/Mortgage, Property Tax, Insurance, Maintenance, and more. Transportation splits into Gas, Parking, Public Transit, Ride Share, and Auto Insurance.
• Expenses vs. Income — Toggle between expense categories and income categories. Income includes Salary, Freelance, Investment Returns, Government Benefits, and others.
• Custom Categories — Hit "+ New Category" to create your own. Choose a name, emoji icon, and whether it's an expense or income category. Edit or delete any category with the inline action buttons.
• AI Auto-Tag — One click to let AI scan all your transactions and assign the right category. Tim Hortons goes to Dining, Shell to Transportation, Netflix to Subscriptions — automatically.
• Import — Bring in your category setup from another app or spreadsheet. No need to start from scratch.
• Search — Quickly find any category by name with the search bar.

Why It Matters

Without categories, your transactions are just a list of numbers. With categories, they become a story — one that tells you exactly where your money goes. The pre-built categories cover 95% of what Canadians spend on, but the ability to customize means you can track anything that matters to you.

The AI auto-tagging is the real time-saver. Instead of manually categorizing dozens of transactions every week, you let the AI handle it. It learns from your corrections over time, getting more accurate the more you use it.