Apps Like Split Bill Expense Settle for iPhone and iPad
Split Bill Expense Settle screenshots
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.







Who Owes Me - Payment Tracker
Roman Voglhuber
Track debts and manage expenses
Track debts and IOUs with a simple interface. Split expenses among contacts. Sync data across devices using cloud storage. Use Touch or Face ID for secure access. Mark debts as paid and view an overview of outstanding amounts.





Your Home
Jacob Whitehead
Share expenses and track balances
Simplify expense tracking by sharing costs with housemates, viewing who owes money, and analyzing spending breakdowns. Create shopping lists and meal plans for shared households. Split costs for groceries and utilities.


Expense Track – Budget & Spend
Sayem Hossain
Expenses, set budgets, share insights
Log expenses instantly via tap, voice, or receipt photo. Automatically categorize transactions or create custom tags. Set category-specific spending limits and receive real-time notifications.


PayUp: Personal Debt Tracker
Nick Matthews
Track debts and log IOUs securely
Track debts and IOUs from individuals or groups. View payment history to see what has been repaid and what remains. Split group expenses and calculate individual shares. Access private, ad-free interface without requiring an account.


Split expenses: Bill Share
Jorge Romanos
Track expenses, costs, settle up
Track expenses and them with others in a group. Create expense groups to organize spending. Settle bills by splitting costs among participants. View transaction details and manage shared expenses. Receive notifications for updates and payments.

GoodSplit - Splitwise & simple
Guangzhou Benliuhe Cultural and Tourism Development Co., Ltd

QuickSplit - Split the Bill
John Robert Herrick
Bills with group assignments and auto-tax calculations
Assign items to group members, add tax and tip automatically, and costs flexibly. Calculate totals quickly and share payment details directly.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.