Apps Like AiMoola – AI Split & Share for iPhone and iPad
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.
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
Split This: Bill Splitting
Lazy Leo LLC
Bills instantly and scan receipts
Bills by scanning receipts to extract details like merchant, items, prices, tax, tip, and fees. Manually enter items if needed. Assign items to friends by name without sign-ups. Calculate splits automatically and share results.
Multiset
Benjamin Ng
Split bills by item or total amount
Track expenses and split costs among groups. Log individual payments, split bills by item or total, and calculate owed amounts automatically. View spending trends and receive notifications for pending payments.
Payback App
Payback LLC
Split receipts and assign payments
Split expenses by scanning receipts or importing images. Assign items to users or split costs evenly. Share payment requests via link, Venmo, Cash , or SMS. Collaborate with friends or groups for group payments.
Splitkaro - Split bills fairly
Splitkaro Private Limited
, track expenses, share payments
Track and group expenses with real-time updates. Add participants, assign costs, and calculate splits automatically. Generate receipts, set reminders, and receive notifications for pending payments.
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 .
Sesterce – Split expenses
Naiane
And track payments
Costs among individuals by adding and tracking contributions. Collaborate in real-time with group members to manage payments. View detailed expense breakdowns and balances without requiring email accounts.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.