SplitNShare app icon

Apps Like SplitNShare for iPhone and iPad

Split bills by snapping receipts and assigning

Allows users to scan receipts and extract item details automatically. Assign costs to individuals, split payments evenly or by percentage, and distribute taxes and tips. Organize shared expenses for groups or roommates.

by Gautam Kapoor★ 5.011 ratingsProductivityFreeData updated 2026-09-06

Ranked alternatives

Showing 821–840 of 1,000 ranked alternatives.

  1. Xpens app icon

    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.

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-06
  2. PayStream app icon

    PayStream

    PayStream Accounting Services Limited

    Enter expenses and upload receipts.

    The app allows PayStream customers to enter expenses and upload receipts. Users can input mileage, receipted, and other expenses, and use the camera to photograph and upload receipts.

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-30
  3. Mobile Capture app icon

    Mobile Capture

    Documation Software Ltd

    Receipts and upload to expenses solution

    Receipt images with automatic correction. Upload images to the Documation Expenses Solution. View history of captured and uploaded receipts.

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-28
  4. Bezala app icon

    Bezala

    Greenstep Oy

    Manage expenses and receipts easily.

    The app streamlines expense reporting by handling receipts and travel expenses. It allows for easy per diem and mileage claims, with a receipt scanner that reads information directly from receipts.

    ★ 4.02 ratingsBusinessFreeData updated 2026-10-24
  5. Loopay app icon

    Loopay

    Triluxy Ways Limited

    ★ 5.02 ratingsFinanceFreeData updated 2026-09-06

How we rank alternatives

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