Apps Like Spendly for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.
Wicked Pay: AI Finance
Wicked Pay, LLC
Track expenses, spot fees, flag spending
Track expenses across all banks and credit cards. View spending patterns with AI analysis. Identify fees and interest charges. Receive weekly summaries of spending habits. Sync accounts securely via Plaid. Set alerts for unusual activity.
Alpheva AI: Financial Advisor
RevEx Technologies, Inc
Connect accounts, track spending, get insights
Track income and expenses with categorization and budgeting tools. Set goals and receive personalized recommendations. Monitor account balances and transaction history. Receive alerts for unusual activity. Generate reports and export data securely.
Lead Bank Mobile
Lead Bank
Manage bills, transfer funds, deposit checks
Manage personal banking with automatic and recurring bill pay, effortless transfers between accounts or to others, check deposits via camera, account balance checks for savings and spending, and transaction history access for detailed deposits.
Retirify
Michael Eastes
Plan your retirement with clarity
Plan retirement by calculating target retirement age based on income, savings, and spending. Explore "what-if" scenarios to adjust savings, spending, or investments. Visualize progress with interactive timelines and financial projections.
Zenmoney: expense tracker
Zenmoney OU
Track expenses, analyze spending, plan budgets
Track spending and income automatically by connecting bank accounts and cards. Categorize transactions, set budgets, and monitor expenses. Generate reports and analyze spending patterns to improve financial planning and decision-making.
Slope - Finance Tracker
Slope LLC
Track expenses, set budgets, analyze spending
Track expenses with customizable categories and tags. Input transactions quickly and sync with bank accounts. View monthly summaries and set budget limits. Receive alerts for overspending and generate reports.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.