Pricing

Document AI pricing without the fog.

The headline per-page price is rarely the real cost. Compare OCR primitives, IDP suites, agentic extraction APIs, review labor, implementation work, and audit requirements together.

Common pricing models

ModelWhere it appearsHidden cost
Per-page OCRAWS Textract, Google, Azure, Klippa-style APIsYou still build extraction, validation, review, and audit workflow
Per-document extractionVeryfi, Mindee, modern extraction APIsComplex document types and custom schemas can change pricing
Annual IDP suiteRossum, ABBYY, Hyperscience, DocsumoImplementation, seats, minimums, and change requests
Workflow platformCogneris and similar production platformsReview volume and validation complexity matter more than OCR alone

What to include in TCO

Model costs, page volume, retries, review labor, exception handling, monitoring, compliance evidence, integration work, and vendor support all belong in the calculation. A cheap OCR call can become expensive if the engineering team has to build everything around it.

How Cogneris is priced

Cogneris uses transparent pay-per-page pricing with platform features attached: extraction, validation, review routing, webhooks, and audit trail. For high-volume or regulated workflows, compare cost per resolved case instead of cost per OCR call.