Apps Like Receipt recognizer AI for iPhone and iPad
Ranked alternatives
Showing 281–300 of 1,000 ranked alternatives.







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.


AiMoola – AI Split & Share
BESTRIE PTE LTD
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.

Finei – AI Expense Tracker
Pavlo Matsibokh
Track expenses and analyze spending habits
Organizes financial data into personalized profiles. Tracks spending habits and purchase history. Provides actionable insights for financial decisions. Allows secure access to personal account information. Generates detailed spending reports.

Depans - Travel Budget
Ricardo Costa
Track expenses, analyze trends, export reports
Track trip expenses with daily and weekly spending analysis. Categorize and view trends by week. Export data to spreadsheets or email. Capture receipts via camera for automatic value recognition. Save data to servers.


Expense Tracker: Money Gone
CREAM SOFTWARE RAFAL PLATEK
Track expenses, set budgets, save
Track expenses by category and date. Set budgets and monitor spending against goals. View daily, weekly, and monthly summaries. Record transactions manually or through linked accounts. Receive alerts for overspending.




Hubdoc
Xero Ltd
Capture, extract, and store documents easily.
The app captures bills, receipts, and invoices, extracting key data like supplier name, amount, and due date. It syncs this information to accounting software for streamlined processing and audit-proofing.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.