Subsnap: Split & Track Bills app icon

Apps Like Subsnap: Split & Track Bills for iPhone and iPad

by Armand Guanlao★ 0.00 ratingsFinanceFreeData updated 2026-09-06

Ranked alternatives

Showing 461–480 of 1,000 ranked alternatives.

  1. Tip and Split app icon

    Tip and Split

    Martin Handl

    Bills and calculate tips

    Calculate tips with percentage or fixed amount, add before or after tax. bills equally or per meal, handle discounts. Round payments evenly. Use built-in calculator for item summaries. Share payment details.

    ★ 5.03 ratingsFood & DrinkFreeData updated 2026-09-12
  2. finbuc app icon

    finbuc

    ALEJANDRO TERRAZAS RIVERA

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-06
  3. Billy - Split bills fairly app icon

    Billy - Split bills fairly

    Jonathan Sahoo

    With receipt scans and item assignments

    By scanning receipts or entering line items. Assign items to individuals or shared groups. Calculate individual shares including tax and tip. Generate detailed breakdowns for each person. Export or share the results.

    ★ 5.03 ratingsUtilitiesFreeData updated 2026-09-06
  4. SplitSmart app icon

    SplitSmart

    Magnus Holmberg

    Snap receipts, split bills, settle debts

    Track expenses by scanning receipts with AI. Split bills across multiple currencies and users. Settle debts instantly without manual calculations. View transaction details and manage shared subscriptions.

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-06
  5. Flick2split app icon

    Flick2split

    Eli Newman

    Split bills by snapping receipts and splitting

    Capture and upload a receipt photo. AI identifies items, tax, and tip amounts. Split costs among users, allocate individual items, and calculate precise payments. Share the split breakdown via email or messaging.

    ★ 4.913 ratingsFinanceFreeData updated 2026-09-06
  6. Remita app icon

    Remita

    SystemSpecs Limited

    ★ 3.022 ratingsFinanceFreeData updated 2026-09-12

How we rank alternatives

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