On-device receipt scanner for expense data.
A Core ML receipt workflow for users who need quick expense capture without sending every receipt to a remote service.
Receipt Scanner made the workflow easier to explain: the inputs, AI review, human handoff, and business action are all visible in one place.
— Product team
Phone camera input
Merchant, date, tax, total
Expense details parsed
Structured data leaves app
Expense capture is tedious when receipt data has to be entered manually.
Users need a phone workflow that scans receipts, extracts fields, supports quick review, and exports structured records.
The workflow needed a visual and operational story that buyers can scan quickly: what comes in, what the AI does, what a human reviews, and where the result lands.
Thermal prints, photos, tax formats, and line items all differ.
Expense reports depend on accurate tax and total fields.
Blur, shadows, and angle affect OCR.
Finance tools need normalized records, not screenshots.
We made receipt extraction a mobile review flow.
The receipt scanner shows phone capture, extracted field cards, line items, and an export button.
The project is framed around the business workflow itself: the source inputs, AI review, approval points, and final handoff are all visible in one story.
- Phone frame with receipt scan.
- Extracted merchant, date, total, tax, and line items.
- Reviewable field cards.
- Export button for expense handoff.
Mobile frame
The experience is shown where capture happens.
Field cards
Users can review each extracted value.
Line-item support
The workflow goes beyond simple totals.
Export state
The end of the workflow is a usable expense record.
Workflow audit
Mapped source inputs, users, review points, and the final business action.
AI task design
Defined classification, extraction, drafting, prediction, or detection responsibilities.
Human review path
Added approval, exception, and escalation points where judgment matters.
Product narrative
Turned the workflow into a clear buyer story for sales conversations, reviews, and handoff.
- Receipt image
- Camera frame
- Expense rules
- Local model
- OCR
- Field detection
- Line items
- Confidence
- Merchant
- Date
- Tax
- Total
- CSV export
- Accounting sync
- User approval
- Receipt archive
Receipt scanning needs clean extraction and quick user review before expense export.
Clearer product surface: Receipt Scanner now communicates the workflow through the actual review states, handoffs, and outcomes buyers care about.
Faster buyer clarity: the problem, workflow, proof points, and next action are easy to understand without a technical walkthrough.
Receipt Scanner made the workflow easier to explain: the inputs, AI review, human handoff, and business action are all visible in one place.
- Receipt image
- Camera frame
- Expense rules
- Local model
- OCR
- Field detection
- Line items
- Confidence
- Merchant
- Date
- Tax
- Total
- CSV export
- Accounting sync
- User approval
- Receipt archive
- Human review
- Audit trail
- Quality checks
- Fallback rules
Got a problem AI might solve? Let's find out.
30 minutes. Free. No NDA needed. You leave with a clear yes-or-no on whether to build — and a one-pager you can forward to your team the same day.