Finma

Finma is an iPhone expense tracker that parses statements from linked email inboxes and processes everything on-device. Rule based auto-tagging, category budget alerts, card due reminders and gesture driven interactive charts make it a self-managed alternative to cloud-syncing finance apps.

Finma is a finance management app built exclusively for iPhone, and its defining choice is architectural: all statement processing happens locally on the device. Transaction data never reaches a server, so even the developer cannot see where the money goes. That privacy stance is the product's core promise rather than a marketing footnote, and it shapes how every feature is delivered. The app automates the boring parts of expense tracking. It scans linked email inboxes for new statements and transactions, with Gmail, Yahoo, Outlook and iCloud named as supported services. Categorisation runs on user written rules: a simple text match against a transaction description, or a regular expression for people who want tighter control. Category budgets trigger threshold alerts before overspending sets in, and a separate alert system tracks upcoming card dues, with reminders configurable up to a week ahead. Beyond bookkeeping, Finma leans on interface craft. Charts and graphs respond to touch, so filtering works visually: pick a category bar, tap a month bar, and the transaction list narrows to that intersection. A pull down gesture reaches top screen buttons during one handed use, a cash flow view compares income and investments over a period, the dashboard is assembled from glanceable widgets, and a dark theme can be forced on manually. Finma suits iPhone owners who want a polished, self-managed tracker and are willing to accept its constraints. The tradeoffs are real: there is no Android, Mac or web client, automatic tracking depends on the email route rather than bank feeds, and there are no stated accounting exports or multi user features. Against mainstream finance apps that sync through cloud accounts, Finma trades breadth of integrations for local control of sensitive data.