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.
Ranked alternatives
Showing 621–640 of 1,000 ranked alternatives.
billy: Scan & Split the bill
David Berlin
Scan receipts and split the bill.
The app scans restaurant receipts using OCR technology. It analyzes the receipt and assigns items to individuals using color coding to calculate each person's total.
Big Fam Energy
Big Fam Energy LLC
Track polls, assign roles, and split costs
Create and share polls to gather input. Assign roles based on responses. Split costs evenly or customarily. Settle payments through integrated methods. Share receipts and finalize actions in one continuous process.
PDF Splitter +
科 姚
Split PDF files into smaller parts
The app allows users to split large PDF files into individual files or extract specific pages. It offers flexible splitting methods and preserves the original formatting and structure of the document.
iReceiptList
Peter Kramer
Record credit card and expense receipts.
The app records credit card and expense receipts with photos and notes. It calculates totals in multiple currencies and allows receipt transmission to other devices.
Maly - Your Smart Money App
Maly Tech Ltd
Send , split bills, and track expenses
Manage personal and shared finances with customizable cards for different expenses. Split payments, contribute to group funds, and track contributions. Set up and manage Circles for collective funding and payments.
PaperTrail: Receipt Tracker
Nexverge LLC
Scan receipts, extract details, store securely
Scan receipts instantly with camera capture. Extract store name, date, and total via OCR. Organize using folders, tags, and categories. Search receipts by keywords or dates. Store and access all documents in one place.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.