Convert any invoice to Excel in about 30 seconds. The AI reads the page the way you do — invoice number, vendor, every line item, and the totals — and puts each value in its own column of a clean .xlsx or CSV.
An invoice is three things at once: a header of fields, a table of line items, and a totals block. Text-based converters flatten all three into one stream and guess where the columns break — which is why a blank quantity cell shifts the price into the wrong column. The vision model sees the grid, keeps each row exactly as wide as its header, and leaves empty cells empty.
Invoice number, invoice date, due date, payment terms, PO number, and status flags such as PAID or OVERDUE.
Company name, address, phone, email, and website for the vendor plus the bill-to and ship-to blocks — each kept in its own cells.
Description, SKU, quantity, unit price, line total, tax — and wide grids such as XS–6XL size columns on apparel invoices stay intact.
Subtotal, tax, shipping, discounts, and grand total, stored as numbers so they reconcile against the line items with a formula.
Coverage
If you can read the invoice with your eyes, the AI can put it into a spreadsheet.
Emailed from accounting software, ERPs, or portals. Clean text layer, but the table still needs to become columns.
Flatbed or feeder scans with no text layer at all — the classic converters return blank cells here.
Snapped on a phone at the counter or on site. Slight angle and shadow are fine — the grid is still read correctly.
Up to 5 pages per upload on the web app. Line items from every page are stacked in order in one sheet.
Same structure as an invoice — PO number, vendor, line items, totals — so they convert exactly the same way.
Compare supplier quotes side by side by dropping each one into the same sheet with matching columns.
How it works
Drag and drop a PDF, scan, or photo. Up to 20 MB and 5 pages per run on the web app — bulk jobs go through the API.
The page is rendered and read visually. Header fields, the line-item table, and the totals block are rebuilt with one column per field.
Get a real .xlsx (or CSV / JSON) that opens in Excel and Google Sheets, or imports straight into your accounting software.
| Criteria | ScanToExcel (AI) | PDF to Excel tools | Generic OCR |
|---|---|---|---|
| Reads scanned invoices with no text layer | |||
| Keeps line items in the correct columns | |||
| Blank cells stay blank — no column shift | |||
| Amounts arrive as numbers, not text | |||
| Handles photos taken at an angle | |||
| Understands header vs. line items vs. totals | |||
| Bulk processing via API | |||
| Needs manual cleanup afterwards |
Manual entry gets every column right — at roughly 5 minutes per invoice and with typos.
Expense receipts from shops, restaurants, and fuel stations into an expense log.
Reports, price lists, and data tables from any PDF — scanned or digital.
Transactions, dates, and running balances into a ledger you can reconcile against invoices.
Send every incoming invoice to the API and get structured JSON back for your accounting pipeline.
FAQ
Upload one page and see the spreadsheet before you decide anything.
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Convert an invoice to Excel