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Structured receipt review

Receipt OCR with automatic total validation.

Upload a receipt or invoice image. Img ID structures merchant details and line items, recalculates totals from extracted values, and reviews fonts, alignment, duplicated rows, suspicious regions, and file evidence. Your receipt remains visible for direct comparison.

Dark UI mockup of a receipt verification tool showing a paper restaurant receipt with cyan OCR text extraction boxes overlaid on line items, totals, and merchant name, with analysis panel displaying Total Math Mismatch red badge, Date Format Inconsistent amber warning, Font Analysis Mixed Typefaces warning, Metadata Screenshot From Editing App red badge, and barcode QR code scan overlays
Check receipt image OCR screenshot guide

Receipt workspace

Upload once. Audit text, math, layout, and file evidence.

Arithmetic uses server-side decimal calculations over extracted values. A mismatch means review the image, not that a transaction is fake.

Distinct receipt output

A document audit, not a generic image verdict.

Structured OCR tableMerchant, date, item descriptions, quantities, unit prices, and amounts.
Arithmetic validationLine-item sum and total components recalculated deterministically.
Typography and alignmentBaselines, columns, mixed fonts, duplicated rows, and edit boundaries.
File evidenceC2PA, EXIF, encoding facts, SHA-256, and explicit limitations.
Check a receipt now →

What Img ID can catch

Img ID extracts text and highlights visual components. That is useful for receipt review because the suspicious signal may be in typography, spacing, totals, dates, or generated text. AI image detection adds another layer when the receipt appears to be created as an image instead of captured from a real document.

  • OCR text that exposes mismatched dates, merchant names, totals, or currency symbols.
  • Layout inconsistencies such as uneven columns, repeated rows, and warped paper edges.
  • Metadata clues showing screenshot export, editing software, or missing camera information.
  • Generated-image artifacts around logos, QR codes, barcodes, and tiny text.

Limitations

Img ID cannot verify a transaction against a bank, store, payment provider, or accounting system. It can only inspect image evidence. For disputes, use the scan as triage and then verify directly with the merchant, payment processor, order ID, or original PDF.

Practical workflow

Upload the highest-resolution file, compare OCR output with the visible receipt, check totals manually, then look at metadata and visual explanation. If the receipt matters financially, ask for a source PDF or transaction record rather than relying on a screenshot.

Signals outside the image

Compare the receipt against order history, merchant emails, payment processor records, shipping status, and bank statements. Watch for screenshots that hide the transaction ID, crop out sender details, or show a status that does not match the claimed refund or purchase.

For business workflows, keep Img ID results with the original file and reviewer notes. The scan can show why a receipt looked suspicious, but final approval should come from source-system data, not a visual detector alone.