Apps Like Splitly - Split my bills for iPhone and iPad
Ranked alternatives
Showing 381–400 of 1,000 ranked alternatives.



The Bills Organizer: Spendable
Atharva System
Track expenses, set budgets, save automatically
Track expenses with automatic transaction syncing via Plaid. Set budgets and receive AI-driven insights to identify overspending. View spending patterns and save money with personalized recommendations.

PaperTrail: Receipt Tracker
Nexverge LLC
Scan receipts, extract details, store securely
Scan receipts instantly with camera capture. Extract store name, date, and total via OCR. Organize using folders, tags, and categories. Search receipts by keywords or dates. Store and access all documents in one place.



Surplus: Expense Tracker
Dev Harvest LLC
Profile expenses, track income, see leftovers
Track monthly income, expenses, and upcoming payments to see leftover spending. Categorize expenses into groups for budgeting insights. Set and monitor budgets using methods like 50/30/20 or 80/20.


Expenzio - Expense Tracker
Balaji Venkatesh
Track expenses, categorize, and search transactions
Track expenses with categorization and trend analysis. Search transactions by query, account, or category. Customize settings and view spending patterns.




Simple Split
Aroon Narayanan
Bills in 3 easy steps
Bills among groups with . Input total amount and individual contributions. Calculate shares automatically. Share results via text or email. No ads or extra features.

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.



SplitSnap
John Carlo Miel
Split expenses, track payments, share receipts
Allows users to snap receipts and use AI to extract details. They can choose how to split costs and track who owes what. Users can settle debts directly within the .



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