Apps Like Splittr - Expense Splitting for iPhone and iPad
Split expenses and track who owes what
Track group expenses with real-time and balance tracking. Add expenses manually or via photos. Invite friends to join and sync data across devices. Categorize expenses and export to PDF or CSV. View statistics and fun facts about spending.
Splittr - Expense Splitting screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.
PayMeLater Friend Debt Tracker
Nicovate Limited
Track payments and settle debts instantly
Track debts and payments among friends. Snap bills, assign costs to individuals, and update balances in real time. Add or edit debts collaboratively. Receive notifications for pending payments. Sync across devices for consistent updates.
Tabify - AI Receipt Splitter
Joseph Torraca
Split bills with photos
Split bills by snapping a and letting AI itemize and split the total. Assign items to friends, calculate shares, and send payments directly. View transaction history and manage group expenses.
AiMoola – AI Split & Share
BESTRIE PTE LTD
Track expenses with voice and receipts
Track and group expenses with AI-powered expense recognition. Upload receipts or screenshots, categorize entries automatically, and generate settlement plans. Sync data across devices and view real-time charts for budget tracking.
My Argo - Travel & Expense
Argo It Tecnologia S/A
Record expenses, track trips, approve requests
Track company trips by requesting, approving, and logging details. Record expenses using OCR and QR code autofill. Log trip distances via map or GPS. Sync expenses and receipts automatically. Request reimbursements and manage advances.
Dime: Budget & Expense Tracker
Rafael Soh
Track expenses, create budgets, set recurring payments
Track expenses with detailed breakdowns across different time frames. Create and manage budgets by category. Set recurring expenses with custom schedules. Sync data across devices using iCloud. Add custom reminders for entries.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.