Apps Like ProoflyAI for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.



AI Receipt Scanner: Smart Scan
Evyasaf Mordechai
Receipts, extract data, track expenses
Receipts using camera or file import to extract data such as date, seller, and amount. Use OCR to select and input specific text. AI auto-detects and learns new fields for accurate tracking. Create expense categories and view summaries.


ScanTicket: Receipt & Expense
Julien meyer
Scan receipts, track spending, save money.
The app uses AI to analyze spending from scanned receipts, identifying spending spikes and duplicate subscriptions. It offers expense reports and a month-by-month category breakdown for users.


Xpens
Autoblicker GesmbH
Track expenses, scan receipts, digitize bills
Track expenses by scanning receipts or uploading images. AI extracts vendor, date, amount, tax, and categorizes expenses automatically. Sync data across devices and generate detailed expense reports.





ComputerEase Field
ComputerEase Software, Inc.
Track expenses, capture receipts, log time,
Track expenses for jobs and equipment with receipt capture using intelligent character recognition. Log time with GPS tracking and geofencing. Submit time approvals and configure logs to record photos, weather data, and other information.

Manage Receipt:Expense Tracker
Butterfly Technology LLC
Scan receipts, organize expenses, track spending
Expenses by scanning and organizing receipts. Extract data like dates, amounts, and merchants automatically. Categorize expenses, track spending patterns, and generate reports. Sync receipts across devices and share them securely.







Expense tracker cute: Moneypod
Montree Tathuwan
Track expenses, scan receipts, set budgets
Track expenses and income with daily budget limits and adjustable spending caps. Scan receipts using AI for automatic categorization. View combined wallet balances and set budget goals. Sync data across devices and receive alerts for overspending.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.