There is no single best OCR software for invoice processing, because the products have converged on reading clean documents and the differences show only at the edges. What varies between organisations is the documents, so the honest comparison is run on your own worst invoices rather than on a vendor's curated samples, and measured in review time rather than in an accuracy percentage.
Compare by field, not in aggregate
Header fields, meaning supplier, invoice number, dates and totals, are close to solved and do not discriminate between products. Line items are not, and lines are what the three-way match needs. A product that reads headers beautifully and produces a blank line grid automates keying but not matching, which is a smaller benefit than the demonstration implied.
Interrogate what happens when it is unsure
Good products expose a confidence value per field and let you set the level at which something goes to a person. Products that return a value with no signal about certainty force a choice between reviewing everything and reviewing nothing, and the second is how confidently wrong data reaches a ledger without anybody noticing for weeks.
Measure the review time you still owe
Run a few hundred of your own invoices, including the ones your team complains about, and count the human minutes still required afterwards. Multiplied by your volume, that is the honest comparison against what you do today, and it is the number a finance director will accept where an accuracy claim invites a question.
Fix the input before changing the engine
Consistent resolution, scanning at arrival rather than at processing, and emailed PDFs rather than photographs improve results more than most product differences. Where corrections cluster on poor images rather than on particular fields, the problem is upstream of the software and no engine change will address it.
Questions people ask about best ocr software for invoice processing
What accuracy figure should we accept?
None as given. Ask by field, test on your own documents, and judge on the review burden that remains. Aggregate figures blend easy fields with hard ones and are not comparable between products or between document sets.
Does the software improve with corrections?
Often, particularly per supplier. Ask what a correction actually changes, whether the effect is per supplier or global, and how long before it becomes visible in your own results.
Is a text-layer PDF much easier?
Considerably, because there is nothing to recognise. Persuading suppliers to email system-generated PDFs rather than scans improves accuracy more than a change of product usually does.