Built for accounts payable clerks who process vendor invoices all day. Upload any PDF, scan, or photo and the AI returns vendor, invoice number, PO number, dates, every line item, tax, and totals as clean Excel or CSV, ready to match, code, and approve.
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A clerk entering invoices manually clears roughly 6,000 a year, while an automated workflow lets one person handle close to 23,000. The gap is hours spent typing fields a machine reads in seconds, plus the rework when a figure goes in wrong.
Industry benchmarks put manual invoice processing at $10 or more each in APQC's bottom quartile, against about $2 in its top quartile once data entry is automated. Most of that cost is the time spent reading and rekeying header fields and line items.
Manual keying carries error rates reported as high as 39%, while best-in-class teams stay under 1%. A wrong total or transposed invoice number turns into a short payment, a duplicate, or a vendor dispute weeks later.
Your suppliers send hundreds of layouts, and template tools break the moment one changes. The clerk ends up reading the odd ones by hand anyway, which is exactly where mistakes creep in.
Three-way matching and a clean audit trail need structured fields: vendor, PO number, line items, amounts. When that data lives only on a PDF, every check is a manual lookup instead of an automatic comparison.
Upload the invoice and the AI reads it the way an experienced clerk would, then returns structured fields you can match, code, and approve without retyping a thing.
Vendor, invoice number, PO number, invoice and due dates, plus every line with description, quantity, unit price, and tax. The full record, not just the totals, so coding and matching have something to work with.
Consistent vendor names and invoice numbers across every file make a duplicate easy to spot before it gets paid twice, instead of surfacing during a reconciliation.
Output maps into the formats AP systems and ERPs expect, so the extracted data becomes a posted bill without a second round of data entry.
Drop a day or a week of invoices at once, mixed PDFs, scans, and photos, and get back one consolidated sheet ready to import.
One invoice takes under 10 seconds. A full inbox takes minutes.
Drag in one invoice or a batch straight from your AP inbox. Native PDFs, scans, and phone photos all work, including multi-page bills.
Tip: Upload mixed file types together, there is no need to sort scans from native PDFs first.
The AI identifies vendor, invoice and PO numbers, dates, line items, quantities, unit prices, tax, and total on each document.
Export a structured Excel or CSV with consistent headers, ready for three-way matching, GL coding, and approval in your AP system or ERP.
From a one-person AP function to a shared-services team processing thousands of invoices a month.
Clear the daily invoice queue without keying every field, and spend the time on exceptions instead.
Standardize how every clerk captures invoice data, so approvals and audits move faster.
Process high invoice volume across business units with one consistent extraction step.
Get clean, matched-ready data and a tighter audit trail without adding headcount.
The daily reality of accounts payable is a queue of vendor invoices that someone has to read and retype into the AP system. InvoiceExtractor takes that step out: upload the PDF, scan, or photo, the AI reads vendor, invoice number, PO number, dates, every line item, tax, and totals, and you download a clean Excel or CSV. For the full field list and accuracy detail, the invoice data extraction software page covers what gets captured, and invoice data capture software explains how the AI reads any layout without a template per vendor.
The value to a clerk is not just speed, it is structure. Matching an invoice against its purchase order and receipt needs the PO number, line items, quantities, and amounts as separate fields, which is exactly what the extraction returns. Our guide to three-way matching walks through how that comparison works, while invoice line item extraction covers capturing full line tables and the invoice PDF to CSV converter returns the ERP-ready file your AP system imports.
Consistent vendor names and invoice numbers make duplicate payments far easier to catch before the money goes out, a problem we cover in depth in preventing duplicate invoice payments. Because the clerk reviews extracted fields instead of typing them, the cost and error rate per invoice both drop. See the practical steps in how to automate invoice data entry and the dedicated invoice data entry software overview.
Extraction is one link in the payables chain. Many invoices arrive as email attachments, so it helps to pull data straight from incoming email with mailparse.ai before it ever hits the queue. To match supplier invoices back to commitments, dedicated purchase order management software keeps POs and receipts in one place, and once an invoice is approved, autopayables.com automates the approval routing and payment. Inside our own stack, the accounts payable automation software page ties the full workflow together.
Most AP clerks now upload the PDF, scan, or photo to an AI extraction tool instead of keying it. The AI reads vendor, invoice and PO numbers, dates, line items, tax, and totals, then exports a clean Excel or CSV. That replaces several minutes of typing per invoice with a quick review.
The fastest, most accurate way is to extract the fields automatically and import them, rather than typing each invoice into the AP system. Automated capture cuts the cost per invoice from $10 or more down toward the roughly $2 that APQC's top-quartile performers achieve and removes most keying errors, while the clerk focuses on exceptions and approvals.
It makes duplicates far easier to catch. Because the tool returns consistent vendor names and invoice numbers across every file, you can spot a repeated invoice number before it is paid twice. The catch happens at entry rather than during a later reconciliation, when recovering the money is harder.
Yes. The extraction returns the PO number, vendor, dates, and every line item with quantity, unit price, and tax as separate fields. That structured data is what three-way matching needs to compare an invoice against its purchase order and goods receipt automatically instead of by manual lookup.
AI extraction reaches 99%+ accuracy on standard fields like vendor, invoice number, date, line items, and totals, compared with manual error rates reported as high as 39%. You still review before posting, but you are correcting the occasional field instead of typing every figure.
Yes. The CSV output uses consistent headers that map into common AP systems and ERPs, so the extracted invoice becomes a posted bill without a second round of data entry. The format mirrors what import templates expect for vendor, dates, amounts, and line items.
Yes. The AI combines OCR with document understanding, so scanned paper invoices and smartphone photos extract as accurately as native PDFs. Emailed attachments work too, which matters because AP inboxes rarely receive clean, uniform files from every supplier.
Manual processing runs about $10 or more per invoice at bottom-quartile AP teams by APQC benchmarks, versus roughly $2 at top performers, mostly staff time spent on data entry. Automated capture drops that to $1 to $5 each and lets one person handle close to 23,000 invoices a year instead of roughly 6,000, so the saving compounds with volume.
Extract every field and line item to structured data.
Capture invoice data from any layout, no templates.
Automate the full AP workflow around your ERP.
Capture full line-item tables, not just totals.
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