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Receipt to Excel Converter

Built for the receipt that's actually a slightly blurry phone photo, not a clean scan.

Most receipts that need converting for an expense report aren't clean digital PDFs — they're phone photos taken in a rush, at an angle, under restaurant lighting, with a thermal-printer receipt that's already started to fade. That's a harder starting point than a scanned bank statement or a digitally generated invoice, so Extract's receipt pipeline is deliberately conservative: rather than guessing at a character it can't confidently read, it flags it for you to confirm. The target columns are item_description, quantity, unit_price, and line_total per row, with merchant_name, transaction_date, subtotal, tax, tip (when present), and total captured once as document-level fields — the shape an expense report or bookkeeping ledger actually wants, not a raw wall of OCR text.

./extract

Expense-ready receipt exports

Upload a receipt photo and see itemized rows plus merchant, tax, and tip before you pay for anything.

How to use

  1. Upload a receipt photo or PDF

    Drop in a phone photo, scan, or PDF of the receipt. The first receipt extracts free so you can check quality before signing in.

  2. Check the itemized rows

    Each row is item_description, quantity, unit_price, and line_total. Faded thermal print or an ambiguous character is flagged rather than silently guessed.

  3. Confirm merchant and totals

    Merchant name, transaction date, subtotal, tax, tip (if present), and total are pulled as document-level fields, separate from the itemized rows.

  4. Fix anything flagged

    Correct flagged cells inline before export — this is usually a single blurry digit on a low-quality photo, not a systemic misread.

  5. Export for your expense system

    Sign in (free — two full exports included) to process a batch, then download a typed .xlsx or .csv you can paste straight into an expense report or bookkeeping spreadsheet.

Frequently asked questions

Does it work on phone photos, not just scanned receipts?
Yes — phone photos are the common case this tool is built for. Any page without a digital text layer (a photo, a scan, a fax) is marked as scanned and routed through image recognition rather than text extraction, and the model is deliberately conservative on ambiguous characters instead of guessing.
What does "conservative" mean when a receipt is hard to read?
If a character on a low-quality photo — faded thermal print, glare, a blurry digit — can't be confidently identified, the extractor flags that cell instead of silently picking its best guess. You confirm or correct it, rather than trusting a number the model wasn't actually sure about.
Does it separate tax and tip from the item total?
Yes. Subtotal, tax, and tip (when a receipt includes one, like a restaurant check) are captured as their own document-level fields alongside the total, separate from the itemized line rows — so you can reconcile a reimbursed tip against policy without recalculating it from the raw items.
Is my receipt data private and deleted afterward?
Files are processed on encrypted infrastructure in the EU and deleted automatically one hour after export — see the privacy policy for the full retention policy. The first receipt is free to preview without an account.
Can I process a whole folder of expense receipts at once?
Each receipt is its own document with its own merchant, date, and total, so a month of expense receipts means uploading each one — but a typical receipt takes seconds once you've confirmed the quality on the free first preview, and flagged cells are usually limited to a photo or two with genuinely poor lighting.
What if the receipt has handwritten additions, like a tip line?
A handwritten tip amount is read the same way as printed text — if it's legible, it's captured in the tip field; if it's ambiguous (common with a rushed handwritten number), it's flagged rather than assumed, consistent with the tool's conservative approach to any uncertain character.

About

Why receipt extraction is tuned to be conservative

A bank statement or invoice is almost always a digitally generated PDF with a real text layer underneath — extraction there is mostly about structure (which column is which), and the source characters are already unambiguous. A phone-photo receipt has no such guarantee: lighting, angle, thermal-print fade, and camera focus all degrade the actual pixels the model has to read, so the failure mode shifts from "structure" to "is this character even legible." Extract's receipt prompt is written around that difference — it still identifies columns by meaning (item_description, quantity, unit_price, line_total), but on any character it can't confidently resolve, it flags the cell for you rather than silently inserting its best guess, because a guessed digit in an expense total is worse than an extra thirty seconds of review.

A real scenario: expense report season for a freelancer or small team

A freelancer or small-team employee wraps up a month of client travel with a shoebox — or camera roll — of restaurant, taxi, and hotel receipts, most photographed on a phone right after paying. Retyping each one into an expense spreadsheet is tedious and error-prone precisely where it matters most: tax and tip amounts that get reimbursed or written off. Uploading each receipt photo produces an itemized row set plus merchant/date/tax/tip/total fields ready to paste into an expense report, with the genuinely unreadable characters — the ones a human would also have to squint at — flagged instead of silently wrong.

Sources & references

Authoritative references behind the math, constants, and tables on this page. Verified by Buğra Sözeri on the dates shown and re-checked at every deploy.