Short answer: extremely accurate. And we have the numbers to back it up.
In 2025 benchmarks, Veryfi hit 98.70% field-level accuracy for invoices and 99.56% line-item accuracy for expense receipts. Those aren't numbers pulled from a controlled test environment either, they were measured across anonymized real-world documents, the kind that come in sideways, poorly lit, or formatted in ways nobody planned for. That distinction matters a lot when you're evaluating whether a vendor's accuracy claims will actually hold up in production.
Why Veryfi's accuracy holds up in the real world:
Purpose-built for financial documents – Veryfi's models were trained specifically on invoices, receipts, purchase orders, bank statements, and other financial document types. That focus shows in the results, especially on edge cases that trip up general-purpose OCR tools
Deterministic models, not generative AI – Veryfi doesn't guess. The extraction engine is built to be consistent and predictable, which matters when you're processing thousands of documents a day and need the same field extracted the same way every time
Handles real-world document quality – poor scan quality, unusual layouts, handwritten fields, non-standard templates — Veryfi is built to handle the documents that actually show up, not just the clean ones
Line-item accuracy – most OCR tools can grab a total amount. Veryfi goes deeper, extracting individual line items, tax breakdowns, and unit prices with the same level of accuracy — which is where most competitors fall short
What that means practically:
A 98-99% accuracy rate across high document volumes means significantly fewer exceptions to review, fewer errors making it into your ERP, and less time spent cleaning up data after the fact. For a team processing thousands of documents a month, even a small accuracy gap between vendors adds up to real hours and real mistakes.
The bottom line is that Veryfi was built from the ground up for financial documents, and the accuracy reflects that.