Receipt data extraction turns a receipt into structured fields you can sort, total, and import, not just a stored image. ReceiptOCR uses AI to read the vendor, date, sales tax, line items, and total off any receipt and returns clean Excel, CSV, or QuickBooks-ready data. There are no templates to build and no per-seat fees. Upload a receipt below and watch the data come back in seconds.
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Capturing or scanning a receipt is the easy half. The half that saves real time is reading every field into named columns you can total, categorize, and import. Most tools stop at the image or rely on rigid templates that break on real receipts, so a person still ends up keying the numbers by hand.
Typing the vendor, date, tax, and total from a stack of receipts is slow and error-prone. One transposed digit quietly throws off a category total, and you only find it at tax time.
Older template-based extraction expects a fixed layout. Crumpled thermal paper, faded ink, and a new merchant format all push fields into the wrong column, so you check every row anyway.
Plenty of apps store a tidy receipt image and call the job done. A picture you cannot sort, sum, or categorize is a digital pile, not a record your accounting software can use.
Full expense platforms bundle extraction into a per-user subscription. If all you need is receipt data in Excel, you are paying monthly for approvals and cards you never open.
ReceiptOCR reads each receipt and returns structured, sortable data with no templates to configure. Upload one receipt or a whole batch, review the extracted fields, and export a single clean file your spreadsheet or accounting software can use directly.
The AI reads receipts from any US merchant, including faded thermal paper and crooked phone photos, and finds each field wherever it sits on the page. There is nothing to map or train.
Get vendor, date, payment method, line items, subtotal, sales tax, and total in tidy columns, the structure a spreadsheet or accounting import actually needs.
Extraction is not limited to the grand total. Each line item, quantity, and price comes back as data, so you can categorize spending instead of logging one lump sum.
Drop in a folder of receipts and each one returns as its own row in a single spreadsheet, so a month or a year is one upload instead of fifty separate jobs.
Download Excel or CSV that opens in your spreadsheet, imports into QuickBooks or Xero, or goes straight to your accountant in the format they expect.
Pricing follows the receipts you process, not the number of users. Add the whole team without watching the bill climb per seat.
From a stack of receipts to a clean spreadsheet in about a minute, with no template to build.
Drag and drop phone photos, email PDFs, or scanned paper. Add a single receipt or a whole batch at once.
Tip: Mixed formats process together, so phone photos and PDF receipts can go in the same batch.
The AI identifies the merchant, date, payment method, line items, subtotal, sales tax, and total on each receipt and lines them up in consistent columns.
Check the extracted data, then download a clean Excel or CSV file or send it straight into QuickBooks or Xero.
Built for US businesses and professionals who need receipt data in a spreadsheet, without building templates or paying a per-seat expense platform.
Turn a stack of receipts into a categorized spreadsheet for bookkeeping and taxes, without typing each slip or learning a new platform.
Extract a client folder of receipts into one CSV and import it into QuickBooks or Xero, instead of keying each one by hand.
Pull line-item data off receipts at volume to feed spend categorization, reconciliation, and reporting without manual entry.
Extract every deductible receipt as data through the year, so Schedule C is filed from a spreadsheet, not a shoebox.
Receipt data extraction is the process of reading a receipt and returning its fields as structured data: vendor, date, payment method, line items, subtotal, sales tax, and total in named columns. The capture step (a photo, a PDF, or a scan) is only the input. The value is the reading: turning that image into rows your spreadsheet or accounting software can sort, total, and import. ReceiptOCR does the reading with AI, so the output is a spreadsheet row instead of a picture you still have to type up. For the spreadsheet export side specifically, our receipt to Excel converter page covers the file format in detail.
Traditional extraction relied on templates: you told the software exactly where the total, date, and vendor sat on a given layout. That works until a receipt does not match the template, which is most of them. A new merchant format, a crumpled thermal slip, or a crooked phone photo pushes the data into the wrong field, and a person has to fix it. AI extraction reads the receipt the way you would, finding each field by what it means rather than where it sits, so it holds up across the messy receipts businesses actually collect. The same engine is described on our OCR receipt scanner page.
Good extraction goes past the grand total. ReceiptOCR pulls the merchant name, transaction date, payment method, each line item with its quantity and price, the subtotal, the sales tax, and the total. Line-item detail is what lets you categorize spending instead of recording one lump sum per receipt, which matters for both bookkeeping accuracy and defensible tax deductions. If you only need the document read into a developer-friendly response, the receipt OCR API returns the same fields as structured JSON.
Match the tool to the job. If you need receipt data in a spreadsheet, a full expense platform with per-seat pricing is more than you need; you would pay monthly for approvals, corporate cards, and reporting you never open. If you need cards and reimbursements across a team, a platform makes sense. ReceiptOCR sits in the first lane: it extracts receipt data accurately, exports it, and charges by the receipts you process rather than per user. Bookkeepers handling many clients can read the dedicated receipt scanner for accountants page, and high-volume users can see the bulk receipt scanner page.
Receipt data extraction is only useful if it ends in a file your other tools can read. ReceiptOCR returns Excel or CSV with consistent headers, so you can open it in a spreadsheet, import it into QuickBooks, or send it to Xero as a draft bill. Identical column headers on every export mean your formulas and category totals keep working as you add more receipts through the year.
Plenty of real receipts are not fully printed: a duplicate book slip from a contractor, a cash receipt written out at the counter, or a preprinted form with the amount and date added by pen. Those are read in the same pass here, but they are genuinely harder for any engine, and the major APIs restrict handwriting far more than printed text. See handwriting OCR for what each engine supports and how to photograph a handwritten slip so it reads.
Receipt data extraction is reading a receipt and returning its fields as structured data: vendor, date, payment method, line items, sales tax, and total in named columns. It turns a photo or PDF into rows you can sort, total, categorize, and import. ReceiptOCR does this with AI, so the output is a clean spreadsheet your accounting software can use, not just a stored image of the receipt.
Upload a photo, PDF, or scan of the receipt to ReceiptOCR and the AI reads the vendor, date, line items, sales tax, and total, then returns them as columns you can export to Excel, CSV, or QuickBooks. There are no templates to build and nothing to install. You can extract a single receipt or upload a whole batch, and each receipt comes back as its own row in one spreadsheet.
AI-based receipt data extraction typically reaches 95 to 99 percent accuracy on legible receipts and stays reliable on faded thermal paper and crooked phone photos that break template-based tools. ReceiptOCR reads each field by what it means rather than where it sits on the page, so a new merchant layout does not throw off the result. You review the extracted data before exporting, so anything uncertain is easy to catch.
Yes. ReceiptOCR extracts each line item with its quantity and price along with the subtotal, sales tax, and grand total. Line-item detail is what lets you categorize spending by item instead of logging one lump sum per receipt, which matters for accurate bookkeeping and defensible tax deductions. Every field comes back in its own column so the data drops straight into a spreadsheet or accounting import.
OCR converts the image into raw text. Receipt data extraction goes a step further and identifies what each piece of text means, labeling the vendor, date, tax, and total so the output is structured fields rather than a wall of characters. ReceiptOCR combines both: it reads the receipt and returns named columns you can use directly, which is the part that actually saves you from keying the numbers in by hand.
Yes. Upload a whole batch of receipts in one go and each receipt comes back as its own row in a single spreadsheet, turning a month or a year of receipts into one job instead of processing each slip separately. Mixed formats work in the same batch, so phone photos and PDF receipts can be extracted together and exported as one clean Excel or CSV file.
Yes. ReceiptOCR exports the extracted data as Excel or CSV with consistent column headers, so it opens in any spreadsheet and imports into QuickBooks, Xero, or Google Sheets. Because the headers are identical on every export, your formulas and category totals keep working as you add more receipts, which is what makes extracted data usable for bookkeeping and taxes rather than a one-off file.
It depends on the model. Full expense platforms charge per user per month whether or not you use the extra features. ReceiptOCR prices by the receipts you process rather than per seat, so adding the whole team does not change the model and you are not paying for approvals or cards you do not need. Check the pricing page for current plans and the free starting allowance you can try first.
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The AI engine that reads any receipt into structured fields.
Export your extracted receipt data to a clean Excel or CSV spreadsheet.
Get the same extracted fields as structured JSON for your app.
Extract a large stack of receipts into one spreadsheet at once.
Turn extracted receipt data into a QuickBooks-ready import file.
Batch client receipts into one CSV without per-client fees.
