Apple Charts · App Store research
Finance Finance Finance receipt scanner AI AI: top App Store apps & competitive landscape
Finance · 18 apps analyzed (4 from App Store charts, 14 from search). Updated 2026-06-23.
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Established demand
Large apps and incumbents that prove users already spend time or money here.
| App | Developer | Rating | Reviews | Rank |
|---|---|---|---|---|
| Receipt Scanner・Track Expenses | Saldo Apps Inc. | 4.6★ | 3,847 | #53 |
| Smart Receipts: Expenses & Tax | REACTIVE APPS CORP. | 4.8★ | 12,677 | #45 |
Indie AI opportunities
Smaller wedges where AI, better capture, or a narrower workflow could give a small team a shot.
| App | Developer | Rating | Reviews | Rank |
|---|---|---|---|---|
| Receipt Scanner: Easy Expense | Easy Expense Tracker LLC | 4.9★ | 2,352 | — |
| Shoeboxed: Receipt Scanner | Shoeboxed, Inc. | 4.5★ | 1,778 | — |
| Receipt Scanner - Receipto | AppWrapp, LLC | 4.7★ | 118 | — |
| SparkReceipt: Receipt Scanner | SparkReceipt Oy | 4.8★ | 815 | — |
| Foreceipt Receipt Tracker App | Relayin Corporation | 4.7★ | 6,633 | — |
| SimplyWise: Receipts, Expenses | SimplyWise, Inc. | 4.9★ | 35,798 | — |
| QuickReceipts Smart Scanner | QuickReceipts, Inc. | 4.8★ | 1,604 | — |
Niche comps and long-tail projects
More specific apps to inspect for positioning, keywords, pricing, and feature scope.
| App | Developer | Rating | Reviews | Rank |
|---|---|---|---|---|
| Sheetify: AI Receipt Scanner | Sheetify Limited | 4.6★ | 12 | — |
| Receipt Scanner: Track Expense | Elvin Mammadli | 4.2★ | 5 | #17037 |
| Receeto: AI Receipt Scanner | Mohit Gaddam | 5.0★ | 4 | — |
| TaxLens: Receipt Scanner & Tax | 艳梅 陈 | 5.0★ | 3 | #17125 |
| Recu: OnDevice Receipt Scanner | Nandhini Bothan | 4.0★ | 1 | — |
| AI receipt scanner | Xinzhou Liu | — | — | — |
| AI Receipt Scanner: SimExpense | Shanghai Qingji Information Technology Co., Ltd. | 4.4★ | 23 | — |
| Receipts AI - Smart Finance | Sultan Haider | — | — | — |
| Receipt Scanner: VaultTax AI | LSA MANAGEMENT SERVICES AUSTRALIA PTY LTD | 4.8★ | 5 | — |
Related topics
Search first selects the strongest keyword matches using relevance, revenue, demand, and observed rank signals; the table defaults to observed App Store rank.