WebInfer

4.0 / 5

Snap Receipt

Photograph receipts, get structured expense data instantly

Useful
Instant
Privacy
Offline

The Problem

Receipt management is tedious; manual entry is slow; receipts fade and get lost

Current Solutions (Not Great)

Manual entry (slow), Expensify (subscription + cloud), shoeboxes (chaos)

Who Needs This

Freelancers, small business owners, expense report filers, anyone tracking spending

Paper receipts fade, get lost, and pile up. Snap Receipt turns your camera into an expense tracker: photograph any receipt and instantly get structured data—vendor, date, items, amounts, tax, total—extracted and ready for your spreadsheet, accounting software, or tax records. It handles crumpled receipts, faded thermal paper, handwritten totals, and receipts in any language. Because it processes locally, your purchase history (which reveals a lot about your life) never leaves your device.

Honest Take

Receipt scanning is a crowded market with Expensify, Concur, and others, but most charge subscriptions and use cloud processing. The local-first privacy angle is your differentiator, though getting OCR accuracy on crumpled, faded thermal paper is genuinely challenging. There's a viable niche for privacy-conscious freelancers and small business owners who are tired of subscriptions.

Monetization Ideas
Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

One-Time Purchase

$9-49 per license

Subscription

$5-29/month or $49-199/year

Features
Key features that make this app valuable
  • Camera capture with auto-edge detection
  • Perspective correction for angled shots
  • OCR for printed and handwritten text
  • Structured data extraction
  • Multi-item line parsing
  • Currency and tax detection
  • Category auto-assignment
  • Export to CSV, PDF, accounting software formats
  • Receipt image archival
Build Prompt
Use this prompt with an AI assistant to start building
Build a React PWA called 'Snap Receipt' using WebInfer with vision capabilities. UI: camera viewfinder with edge detection overlay, captured receipt preview, extracted data card, expense history list. Capture flow: getUserMedia for camera, show live preview, detect receipt edges (contrast-based edge detection on canvas), guide user to align. On capture: perspective correction via canvas transforms. Send to vision model. Use generateObject to return { vendor: string, vendorType: 'restaurant'|'retail'|'grocery'|'transport'|'other', date: string, items: [{ description: string, quantity: number, unitPrice: number, totalPrice: number }], subtotal: number, tax: number, tip?: number, total: number, paymentMethod?: string, currency: string, confidence: number }. Display extracted data with editable fields (tap to correct). Category assignment with learning from corrections. Store in IndexedDB: receipt image (compressed), extracted data, category, notes. History view: searchable, filterable by date/vendor/category. Export: CSV for spreadsheets, PDF with images, QIF/OFX for accounting software. Monthly/yearly summary reports. All processing and storage local.
Score Breakdown
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