Apps Like Splitsh for iPhone and iPad
Splitsh screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.
I Hate Receipts
IHR, LLC
Store in the cloud and access them
Track expenses with tag-able receipt entries and item-level details from retailers. Link Amazon account for purchase history. Access all from a cloud-based vault. Manage budgets and view spending patterns.
Finvari
Finvari LLC
Track expenses and manage budgets
Track and manage expenses in real time with automatic categorization and receipt capture. Record transactions as they occur and export data to major platforms.
Simple
Joses Solmaximo
Track expenses and manage budgets
Track expenses and manage budgets with multiple transaction entries and 65 default categories. Create debit, credit, and goal wallets. Generate clear expense reports and set recurring transactions.
Split Check - bills & receipts
Mikar Dev, LLC
And settle payments
Scan to , assign payments to individuals, and settle via Venmo or similar apps. Edit splits manually or use AI to detect items and amounts. Export and track payment status.
ReceiptScan: Receipt Scanner
Common Swift Technologies LLC
Scan receipts, extract data, organize expenses
Scan receipts or import images to extract merchant, date, total, tax, and currency automatically. Organize expenses, manage budgets, and track tax deductions without manual entry. Search for receipts using common terms like or expense tracker.
MSEB Flex Benefits
Marshall and Sterling Administrative Services, Inc.
Check balances and view details
Check balances and account details for HSA, HRA, and FSA accounts. View transaction history and account summaries. Access real-time information and manage securely. Log in with existing website credentials.
Banana Splits
Liam Dowd
Split bills based on receipt items
Split meal costs by scanning receipts. Users divide bills based on purchased items. Track individual expenses and share payment details. Syncs with receipts and allows group payments.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.