Apps Like Share Spend - Split Expenses for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.


SplitIt: Group Bill Splitter
Feast Labs LLC
Split expenses and share receipts
Split expenses by uploading receipts and assigning costs to friends. Update item claims and request payments directly. Track expenses, balances, and shared locations. Share photos of receipts and update splits in real time.



Banana Split, Bill & Expenses
oWorld Software
Track and bills automatically
Create events to track group . Enter individual expenditures and calculate debts automatically. Receive clear breakdowns of who owes whom. Share results with participants for easy settlement. Sync across devices for real-time updates.


Obe - Bill Splitting
Aldoc LLC
Split bills, track payments, share expenses
Split expenses by scanning receipts and itemizing costs automatically. Assign items to individuals, calculate shares, and generate payment requests. Sync with contacts and track group spending history.




TravelSpend: Travel Budget App
Ori App Studio GmbH
Track expenses and share costs with travelers
Track expenses with categorized entries and real-time updates. Share expenses with others to monitor who owes who. Set budgets and receive alerts for spending limits. Sync data across devices and export reports for trip summaries.

Splitzee - Split. Track. Done.
NxtStop LLC
Split expenses with a photo and assign
Allows users to split expenses by snapping a photo of a bill or uploading a receipt. Assign payments to individuals and calculate shares automatically. No account creation or bank connections are required. Split bills offline without internet access.


Split Patron - Bills & expense
Dipendra Pokharel
Expenses and scan receipts
And costs instantly by adding amounts and assigning payments. Track expenses with detailed entries and AI-powered receipt scanning to categorize and costs automatically. Share splits and view transaction history for clarity and fairness.






How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.