Scan paper vendor bills or drop in emailed PDFs and get vendor, invoice number, PO, dates, tax, totals and every line item back as validated data, ready for QuickBooks, NetSuite, Xero or Excel. OCR for accounts payable without templates, per-user fees or a six week implementation, for AP teams that still get a real share of their bills on paper.
Reads digital PDFs, scans and phone photos. Exports to Excel, CSV and JSON.
Compare the extracted fields and line items against your own document.
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The short answer
InvoiceExtraction is accounts payable OCR software that reads scanned paper bills, emailed PDFs and phone photos from any vendor without templates. It splits multi-invoice scans, extracts vendor, invoice number, dates, PO number, tax, totals and line items with a confidence score per field, flags anything uncertain for review, and exports to QuickBooks, Excel, CSV or JSON. Plans start at $49 a month, or $24 a month billed yearly.
Most AP teams still get a share of their bills on paper, and every one of them gets keyed by hand somewhere. Scan the stack once, and vendor, invoice number, PO, dates, tax and totals come back as data, with only the low confidence fields routed to a person.
For a one off backlog, bulk invoice processing handles thousands of files in one run, and the invoice to Excel converter gives you a spreadsheet when the destination is a workbook rather than your ERP.
Scan an invoice nowMost AP teams end up choosing between three kinds of accounts payable scanning solutions. The right one depends on whether you need only the data capture step or want to replace approvals and payments too.
| Scan-to-folder (copier or scanner software) | Full AP automation suite | AP OCR extraction (InvoiceExtraction) | |
|---|---|---|---|
| What you get | Image files in a shared folder | Capture, approvals, payments and vendor portal | Validated header and line item data from every scan or PDF |
| Data entry left over | All of it, someone still keys every bill | Little, inside the suite | Only fields flagged with low confidence |
| Setup | Scanner profiles | Implementation project and ERP sync | Upload and export, no templates |
| Pricing | Usually included with the hardware | Per invoice, per entity or quoted | By pages, from $49 a month |
| Best for | Archiving only | Teams replacing their whole payables process | Teams that keep approvals in QuickBooks, NetSuite or Xero and want the typing gone |
Run a sample of your own worst invoices through any tool before you buy: faint thermal copies, multi-page bills, credit memos and a stack scanned as one PDF. The checks below separate software that removes data entry from software that just moves it.
Automated invoice scanning succeeds or fails at the point of digitization, and that point is usually staffed by whoever opens the mail. The process needs to be dull enough to survive being done by different people on different days.
The decisions worth making once, in writing, are the separation method, the scanner settings and the destination. Separation is the awkward one: a stack of thirty invoices scanned in one pass produces one file unless something tells the system where each document ends. Barcode separator sheets, blank-page detection, or simply scanning in small batches all work; choosing none of them is what produces a 60-page PDF containing eighteen bills.
Once digitized, the file should go to exactly one destination, a watched folder or a monitored address, and never to someone's desktop. The most common failure in a scanning workflow is not misrecognition, it is a scanned invoice sitting in a personal folder that nobody else can see.
A backlog is a different project from steady-state scanning, and treating it as the same thing is why backlogs stay backlogs. It is bounded, it has no deadline pressure per document, and it can be processed in large batches during quiet periods.
The pragmatic approach is to work backwards from the most recent, because recent invoices are the ones people ask about. Set a cut-off date beyond which documents are scanned for archive only, without full field extraction, since nobody is going to post a bill from four years ago. They only need to find it.
It is also worth deciding explicitly what "done" means before starting. Full extraction with validation on everything is expensive and rarely necessary. Extraction on the last two years and image-plus-index on the rest is a defensible position that finishes.
A scanned invoice carries the same purchase order reference as a native PDF, but it carries it less reliably. A smudged digit or a low-contrast footer turns "PO-40381" into "PO-4O38l", which then matches nothing at all.
Two things make matching robust against this. The first is fuzzy reference matching that tolerates the specific confusions optical recognition makes, zero against O, one against l, five against S, rather than demanding an exact string. The second is matching on the invoice content when the reference fails: supplier, date range and total against open purchase orders will usually identify the right one even when the quoted reference is unreadable.
Anything that still cannot be matched should be visible as an exception with the scan attached, not silently posted as a non-PO invoice. Bills that quietly bypass matching are how purchase-order controls stop meaning anything.
Retention rules vary by jurisdiction and by tax authority, and they are the reason many teams keep boxes they never open. Whatever period applies to you, the practical question is whether the digital copy satisfies it or whether the original must survive.
That is a question for your accountant or auditor rather than for a software vendor, and the honest answer in most cases is that it depends on the jurisdiction and on how the digital copy was produced and stored. What software can do is make the digital side defensible: keep the original scan unaltered, link it to the extracted data, and record every subsequent edit against the document with a timestamp and a user.
A useful test is whether you could hand an auditor a single invoice and show, without assembling anything by hand, the image that arrived, the values read from it, every change made afterwards, who approved it and what was posted.
Pricing is by pages processed, not per user or per invoice approval. Starter is $49 a month ($24 a month billed yearly) and covers up to 500 pages a month on the most accurate model or 2,500 on the faster one. Plus is $149 a month ($74 billed yearly) and adds bulk upload of 50 files at a time, custom extraction templates, category normalization, QuickBooks export and three seats. Pro tiers cover 35,000 to 350,000 pages a month for shared service centers. See the pricing page for details.
Full AP suites that bundle payments and approvals typically quote per invoice or per entity. If your approvals already live in QuickBooks, NetSuite or Xero, the OCR step is usually the only piece you are missing.
The best accounts payable OCR software reads any vendor layout without templates, splits multi-invoice scans, scores confidence per field, matches POs with OCR-tolerant fuzzy matching and exports to your accounting system. InvoiceExtraction does all of this from $49 a month, priced by pages rather than by user.
For teams that keep approvals in their accounting system, the best accounts payable scanning solution is OCR extraction that turns each scan into validated data and exports it, rather than a scanner that only saves images. Full AP suites make sense when you also want to replace approvals and vendor payments.
It is the use of optical character recognition inside the payables function: converting scanned or photographed supplier invoices into structured data so they can be validated, matched, approved and posted without manual typing. The technology is the same as general invoice OCR; the surrounding workflow is what makes it payables-specific.
Scan at around 300 dpi in grayscale with deskew and despeckle enabled, and use a consistent method to separate one document from the next: barcode separator sheets, blank-page detection or small batches. Send the output to one monitored destination rather than to individual desktops.
Yes. Multi-invoice files are split by detecting where one document ends and the next begins, using layout cues such as a new supplier header or a fresh invoice number. Anything ambiguous is surfaced for a person to confirm rather than split silently.
That depends on your jurisdiction and your auditor, and it is a question for them rather than for a software vendor. What the system provides is a defensible digital record: the unaltered original scan, the data extracted from it, and a timestamped history of every change afterwards.
Generally yes, because a native PDF already contains a text layer while a scan must be recognized from pixels. The gap is narrowed considerably by good scanning practice, and the remaining uncertainty shows up as lower per-field confidence, which routes those specific fields to review.
Invoice OCR software that reads scanned, photographed and PDF invoices without templates. Line items, per-field confidence, Excel, CSV and QuickBooks export.
How AP automation works with QuickBooks Online and Desktop: how bills enter the file, how vendors are matched, how expense coding and class tracking are applied, and where QuickBooks stops being enough.
Bulk invoice processing for high volumes: uploading hundreds of documents at once, queue behavior, parallelism, partial failure handling, splitting multi-invoice PDFs and surviving month-end spikes.
Invoice to Excel converter for PDF invoices, scans and photos. Every line item in its own row, invoice numbers intact, batch upload, CSV and QuickBooks export.
Extract invoice data from PDFs, scans and photos: vendor, invoice number, dates, tax, totals and every line item, validated and exported to Excel, CSV, JSON or QuickBooks.
Accounts payable automation that reads every supplier invoice, matches it to your purchase orders, routes it for approval and posts it to your ledger. See how AP automation works end to end.
Upload a few of your least tidy supplier invoices and compare the extracted fields against the documents. That tells you more than any feature list.
