Apps Like WorkInTo: Task-Expense Tracker for iPhone and iPad
Ranked alternatives
Showing 141–160 of 1,000 ranked alternatives.


Wesplit - IOU expense tracker
Dmitry Ryazantsyev
Split expenses with friends and track payments
Split expenses with friends by defining categories and adding images for groups. Calculate individual shares automatically. Share receipts and track payments. Set reminders for pending payments. Export transaction history.






RoomieHub
RoomieHub, LLC
Swipe to match with roommates
Find roommates by swiping and matching with students near your campus. Filter by lifestyle, budget, and habits. Manage shared expenses and chores. Split bills, assign tasks, and track progress. Communicate and stay organized with roommates.



Receipt Lens - Expense Tracker
Glority Global Group Ltd.
Snap receipts, track expenses, generate reports
Track receipts by snapping photos and automatically extract details. Create reports instantly. Categorize expenses for travel, groceries, utilities, and more. Export data for reimbursement. Manage spending insights and organize receipts digitally.


Pareto: Bill Splitter & Scan
Davis Dilanchian
Receipts, split bills, pay friends
Receipts to split expenses with friends by dragging items. Integrate Venmo for instant payments. Track credit card rewards and air miles while splitting bills to maximize points.



Settle up, Split rent: Splito
CANOPAS SOFTWARE LLP
Expenses and track shared funds
Expenses and manage shared funds with friends, family, or groups. Add payments, track debts, and view who owes whom. balances with simple transfers. Sync across devices and receive notifications for updates.



BestTracker - 百事AA记账
Beijing BaiShiChuangYi Technology Co., Ltd.
Share ledgers, split expenses, track money
Create and share multiple ledgers with others for collaborative financial management. Split expenses and revenue among trips, housemates, friends, or business partners using equal sharing, proportion, shares, or exact amounts.

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