Expense tracking apps have a universal problem: the input form. Category dropdown. Amount field. Date picker. Description box. Payment method selector. Every transaction requires six decisions, six taps, six opportunities to say 'I'll do it later.'
Spoiler: 'later' usually means 'never.' And then your budget is just a fantasy.
Just Type Like a Human
We asked a simple question: what if you could just type what happened, like you're telling a friend? 'Coffee 5.50 yesterday.' 'Grocery run 89 on Saturday.' 'Netflix subscription 15.99 monthly.' No dropdowns. No date pickers. Just words.
Behind that simplicity is a sophisticated AI pipeline. We use Google's Gemini models to parse natural language into structured financial data. The AI extracts the amount, infers the category from context, resolves relative dates like 'yesterday' or 'last Tuesday,' and even handles currency conversions.
Custom Rules for Your World
But everyone's vocabulary is different. Maybe you call lunch 'com trua' or refer to your motorcycle as 'xe.' That's why we built a Custom Rules Engine. You define patterns — 'com trua' always maps to 'Food & Drink' with a default of $5 — and the AI applies them before falling back to general inference.
This means the more you use it, the better it gets. Not through creepy tracking, but through rules you explicitly set. Your personal shorthand becomes the app's native language.
From Input to Insight
Natural language input isn't just faster — it's more accurate. When users type freely, they include context that rigid forms miss. 'Expensive dinner with clients 145' tells a different story than a generic 'Restaurant' category. That context feeds into our AI Financial Coach, which can later analyze not just what you spent, but why.
The feature launched in version 2.24.0 and quickly became a Pro user favorite. Because at the end of the day, the best expense tracker is the one you'll actually use. And if using it is as easy as sending a text message, why wouldn't you?
