Receipts to spreadsheet rows, automatically.

Why receipts defeat traditional OCR

Plain OCR converts an image to raw text — and on receipts, raw text is chaos. Merchant names render in stylised fonts, totals appear three times (subtotal, tax, total), line items wrap unpredictably, and faded thermal print produces character errors exactly where the numbers are.

The missing step is understanding: knowing that ₹1,240.50 next to 'TOTAL' is the field you want, and that the smudged line above it is a line item, not a date. That's what multi-modal AI adds — it reads the receipt the way you do, in context.

The working pipeline

With DocParse's receipt template the loop takes minutes to set up:

• Pick the receipt template — merchant, date, currency, subtotal, tax, total, payment method, line items — or trim it to the fields your expense process needs
• Upload receipt photos and PDFs in batches of up to 30 (JPG, PNG, WEBP, PDF), or let people email them in straight from their phone
• Export the batch to Excel or CSV — one row per receipt, line items expandable to their own rows

Handling the ugly ones

Faded, crumpled or skewed receipts are the test that matters. Two settings help: the handwritten/low-quality document option tells the model to read carefully, and a validation rule requiring merchant + date + total flags any receipt where those didn't extract cleanly. Flagged receipts land in a review queue with the photo alongside the extracted fields — a five-second human fix instead of a wrong number in the expense report.

Multi-currency stacks (a travel folder with INR, USD and EUR receipts in one batch) work without configuration, because the currency is read per receipt.

From spreadsheet to system

Excel export is the start; most teams end with receipts flowing into their accounting tool automatically. Confirmed receipts can push via Zapier into 6,000+ apps or via signed webhooks into your own system — so 'do the expenses' becomes 'glance at the review queue'.