Last Updated: April 2026
Stop fighting with rules. Expense Atlas categorizes every transaction automatically using a hybrid LLM + merchant-rules system that learns your personal vocabulary so the more you use it, the smarter it gets.
Expense Atlas reads each transaction in context: the merchant name (cleaned of payment processor noise), the memo, the amount, and the merchant code if available. A Large Language Model decides the category and emits a confidence score. High-confidence categorizations are applied silently. Low-confidence ones are surfaced for one-click review so you only spend time on genuine ambiguity.
Reads merchant name, memo, and amount in context. Handles cryptic acquirer names like "SQ *MERCHANT" without rules.
Every correction trains your personal model. Reaches 95%+ accuracy after about 50-100 transactions.
Rename a merchant once and every past and future transaction follows. No fragile per-merchant rules.
Scanned receipts are matched against bank transactions automatically; no duplicate categorization.
Rename, merge, split, or add custom categories at any time. Your structure, your rules.
Low-confidence categorizations are flagged for one-click review so you only spend time on genuine ambiguity.
| Capability | Expense Atlas | Mint | YNAB |
|---|---|---|---|
| LLM-based categorization | Yes | No | No |
| Auto-categorize unfamiliar merchants | Yes | Limited | No |
| Personal learning from corrections | Yes | Limited | No |
| Confidence scores | Yes | No | No |
| Receipt + bank reconciliation | Yes | No | No |
| Merchant aliases (rename once) | Yes | No | Limited |
See the full comparison on the compare page.