SPEND - Split & Track Expenses app icon

Apps Like SPEND - Split & Track Expenses for iPhone and iPad

by Jaegeun Jeong★ 0.00 ratingsFinanceFreeData updated 2026-09-12

SPEND - Split & Track Expenses screenshots

Ranked alternatives

Showing 321–340 of 1,000 ranked alternatives.

  1. Steven – Be even with friends app icon

    Steven – Be even with friends

    Steven AB

    Track expenses, split costs, settle debts

    Track group expenses and split payments automatically. Notify members when they owe money. Generate receipts and view transaction history. Set reminders for payments and manage multiple groups. Sync across devices and share reports participants.

    ★ 4.120 ratingsFinanceFreeData updated 2026-09-11
  1. Receipt Scanner & Expense AI app icon

    Receipt Scanner & Expense AI

    Toba Ibrahim

    Scan receipts, track expenses, manage invoices

    Scan receipts and invoices to extract totals and tax information automatically. Convert currencies and export detailed reports for accounting. Track expenses with a home screen widget and manage personal or business expenses efficiently.

    ★ 4.443 ratingsBusinessFreeData updated 2026-09-06
  2. SplitPal - Expense Splitting app icon

    SplitPal - Expense Splitting

    Legendary Bytes LLC

    Split expenses with one click

    Allows users to add expenses with one click using the quick feature. It includes a receipt scanner with OCR to extract details automatically. Users can collaborate on expenses via a shareable link and pay debts using a VENMO link.

    ★ 4.616 ratingsFinanceFreeData updated 2026-09-06
  3. CashLens app icon

    CashLens

    Rushiraj Jadeja

    Track expenses and manage subscriptions

    Track recurring payments and manage subscriptions in one place. Set reminders for upcoming payments and mark them as completed. View detailed expense reports and categorize transactions for better financial oversight.

    ★ 4.86 ratingsFinanceFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.