Stop retyping invoices line by line. Upload your PDF or scanned invoices below and the AI reads the invoice number, date, vendor, line items, tax, and totals, then exports clean rows to Excel or CSV in seconds. No templates to build, no formulas to write, and no code. This guide walks through every step, including how to handle scanned files, capture line items, and process large batches.
Upload your invoices
Drop files here or click to upload
Up to 50 files
Uploading...
Manual invoice data entry is slow, error prone, and impossible to scale. Every invoice means opening the PDF, reading each field, and retyping it into a spreadsheet, then doing it again for the next one. A few invoices a week is tolerable; a few hundred a month is a part-time job nobody wants.
Keying one invoice into Excel takes two to five minutes, so a stack of 200 swallows most of a working day before anyone checks the numbers.
Manual entry introduces transposed totals and wrong dates. One mistyped figure can throw off a reconciliation or send the wrong amount to a vendor.
Pasting a PDF straight into Excel scrambles columns and merges line items into a single cell, so you spend longer cleaning up than you saved.
A photographed or scanned invoice is just an image. There is nothing to copy, so without OCR you are back to typing every field by hand.
The cost adds up faster than most teams expect. At two to five minutes per invoice, manual entry carries a real cost per invoice once you count the labor, the rework from errors, and the late-payment risk when invoices sit in a queue. Removing the data-capture step is why finance teams move to automated accounts payable data entry.
Purpose-built AI extraction reads any invoice layout and returns structured data you can open in Excel. You do not draw zones, build templates, or train a model. Upload the file, the AI identifies each field and captures every line item, and you get a spreadsheet you can import into accounting.
The AI reads a typical invoice in under ten seconds and outputs a clean row, so a task that took minutes per document finishes almost instantly.
Template-free AI handles layouts it has never seen, so a brand-new vendor format works on the first try with zero configuration.
It pulls the description, quantity, unit price, tax, and line total for every line, not just the header total, with each line as its own row.
Built-in OCR turns scanned PDFs and phone photos into text, so paper invoices convert into spreadsheet rows just like digital ones.
Export straight to Excel or CSV, formatted and ready to import into QuickBooks, Xero, NetSuite, or Sage.
Drop in a folder of invoices and extract them all in one pass, then download everything as a single file.
Because the AI reads any layout, the same tool covers every format you receive: a born-digital PDF, a scanned invoice, a phone photo, or an email attachment. It captures full line items, not just totals, and exports to Excel or CSV. When you have a folder of files, bulk upload runs them all in one pass.
The whole process takes a couple of minutes from upload to a finished spreadsheet.
Drag your PDF or image invoices into the tool at the top of this page. Digital PDFs, scanned files, and phone photos all work, and you can add several at once.
Tip: For scanned files, 300 DPI or higher gives the cleanest results.
The AI identifies the vendor, invoice number, date, line items, tax, and totals automatically. There is no template to pick and no fields to map by hand.
Check the extracted values against the invoice on screen. Every field is editable, so you can fix anything before export, though most invoices need no changes.
Download the data as an Excel or CSV file. Open it directly or import it into your accounting software to finish the job.
Any team that receives invoices and needs the numbers in a spreadsheet benefits, from solo bookkeepers to high-volume accounts payable departments.
Turn client invoices into clean ledgers without keying each one by hand.
Process supplier invoices at volume and feed them straight into the ERP.
Keep the books current without hiring a data-entry clerk.
Build vendor spend reports from invoice data in minutes.
Excel does have a built-in way to pull in a PDF: Data, then Get Data, From File, From PDF, which imports tables it can detect. It works for simple, text-based invoices with clean tables, but it struggles with scanned files (there is no text layer to read) and with invoices where line items are not laid out as a tidy table. For one neat invoice it is fine; for a stack of varied vendor layouts it becomes manual cleanup.
AI extraction avoids that fragility. It reads the meaning of each value instead of guessing at table borders, so a faded scan, a phone photo, and a born-digital PDF all come out as the same structured row. Once the data is in a spreadsheet you can import invoices into QuickBooks, Xero, or NetSuite without retyping a thing. Developers who want extraction inside their own product can use the invoice parser API rather than the browser tool.
The same workflow handles the documents that travel with invoices. If your team also keys in expense receipts, a dedicated receipt data extraction tool turns those into rows the same way. When invoices arrive scattered across a shared inbox, an email parser can pull the attachments out before extraction. And to reconcile what you actually paid against what was billed, convert a bank statement to Excel and match it against the invoice rows.
"The fastest way to get invoice data into Excel is to let AI read the invoice for you, then export the rows. No templates, no retyping, and no developer required."
Upload the PDF to an AI extraction tool, let it read the vendor, date, invoice number, line items, and totals, review the fields, then export to Excel. The tool at the top of this page does this in seconds with no template setup, and it works on both digital and scanned PDFs.
Yes, Excel has a built-in Get Data, From File, From PDF option that imports tables it can detect from text-based PDFs. It works for simple, tidy invoices but fails on scanned files and messy layouts. For varied vendor invoices, AI extraction is far more reliable and captures full line items.
Use AI invoice extraction software: upload the invoice and the AI identifies and pulls each field automatically, with no manual mapping. It handles new layouts on the first try and exports clean rows to Excel or CSV, so the only manual step is a quick review before you download.
Upload the invoice, let the AI read it, and download the result as an .xlsx file. Each invoice becomes a structured row, or several rows when you capture every line item. The whole conversion takes a couple of minutes, even for a scanned invoice or a phone photo.
Yes. Built-in OCR turns scanned PDFs and photographed invoices into machine-readable text, then the AI maps that text to fields. Scan or photograph at 300 DPI or higher for the cleanest results. A clear scan extracts almost as accurately as a born-digital PDF.
Choose a tool that captures line items, not just header totals. It returns each line with its description, quantity, unit price, tax, and line total as a separate row in the spreadsheet. This is the harder extraction test, so confirm it on a multi-line invoice before you rely on it.
Modern AI extraction reaches roughly 98 to 99% field accuracy on standard invoices. Accuracy depends more on document quality than the brand, so a clean scan extracts better than a faded one. Reviewing the extracted fields before export catches the rare miss and keeps your final data reliable.
Yes. Batch upload lets you drop in dozens or hundreds of invoices and extract them all in one pass, then export everything to a single Excel or CSV file. Bulk processing is where automation pays off most, turning a full day of entry into a few minutes.
