The average is 2.8 seconds per document. No human review, no queue, no waiting: results come back programmatically the moment processing is done.
For context, that's the kind of speed that makes real-time document workflows actually possible. A user submits a receipt from their phone and the data is ready before they've put it back in their pocket. An invoice hits your AP inbox and it's extracted and ready for approval before anyone on your team has even seen it.
What's behind the speed:
No human-in-the-loop – Veryfi's processing is fully automated. There's no review step, no fallback to a manual queue, and no waiting on someone to check the output before it comes back to you
Deterministic processing – because Veryfi uses purpose-trained models rather than generative AI, processing time is consistent and predictable. You're not getting wildly different response times depending on document complexity
Built for production volume – 2.8 seconds at low volume is one thing. Veryfi maintains that performance at scale, which is what actually matters when you're running thousands of documents a day through an automated workflow
For engineering teams with SLA requirements:
Sub-5-second guarantees are achievable without building out fallback queues or manual escalation paths. That simplifies your architecture and removes a whole category of edge cases you'd otherwise have to plan around. If your product or internal tool has uptime and response time commitments to meet, Veryfi's processing speed gives you room to work with.
Fast OCR is table stakes. Fast, accurate, and consistent OCR at production volume is where most vendors start to struggle and where Veryfi is built to hold up.