Receipt Scanner

OCR Processing

Receipt images are processed using Optical Character Recognition (OCR) on the server side. The image is pre-processed (deskew, contrast enhancement, binarization) before text extraction. Structured fields — merchant name, date, line items, subtotal, tax, and total — are then identified using a trained extraction model.

Category Detection

Expense categories (Food, Transport, Shopping, Healthcare, Entertainment, etc.) are automatically assigned based on the merchant name and item descriptions. This uses a combination of keyword matching and a classification model trained on common receipt patterns across major retail, restaurant, and service categories.

Accuracy Factors

OCR accuracy is highest on: printed receipts (vs handwritten), high-contrast backgrounds, straight/flat images (not crumpled), and good lighting with no glare. Thermal paper fading significantly reduces accuracy. For best results, photograph receipts immediately after receiving them under natural or bright artificial light.

Data Privacy

Receipt images are uploaded to our servers for OCR processing. They are processed immediately and not stored beyond the session. No receipt data is used for training or analytics. Payment card numbers, if visible on receipts, are automatically masked in the output. For highly sensitive receipts, consider blacking out card or account numbers before uploading.