Blog/·Updated
The real cost of document AI isn't the per-page price
Per-page rates are the easiest number to compare and the least complete. A framework for evaluating document AI on total cost — with OCRs.ai's $0.012/page as a worked example.
The total cost of document AI is the per-page rate plus everything around it: minimum commitments, the engineering that joins OCR to your systems, human review of uncertain output, and rework when errors reach production. Teams that compare on page price alone often pick the option that is cheapest per page and most expensive per correct document.
Per-page pricing is attractive because it is easy to put in a spreadsheet. But the page rate is usually the smallest line in the real budget. The larger costs are harder to see, so they rarely make it into the evaluation.
Which costs does a per-page comparison miss?
Commitments and procurement. Enterprise document platforms are often sold through cloud accounts, contracts and minimums. For a team that wants to ship this quarter, weeks of procurement cost more than any difference in rate.
Integration. OCR that returns plain text means someone writes the code to rebuild tables, chunk for retrieval, generate embeddings and push them into a vector store. That code has to be maintained indefinitely.
Review. Every uncertain field a person has to check costs more than processing the whole page. Output that shows where engines disagreed — and exactly where each value sits on the page — cuts review time far more than a lower rate does.
Errors that escape. A wrong account number that reaches a payment run, or a fabricated clause that reaches a retrieval index, costs more than every page you will ever process.
How should you evaluate document AI vendors?
Run your own documents, not a vendor's sample set. Measure the cost per correct document: rate, plus the minutes of review each document needed, plus the integration work to get the output where it has to go.
Then ask five questions. Can you start without a contract? Does the output keep layout and positions? Does quality control flag uncertainty rather than hide it? Can results go straight to your vector store? Is pricing public, and does unused credit expire?
What does transparent pricing look like?
As a worked example, this is how OCRs.ai prices: $0.012 per document or image page with AI quality control, or $0.008 without it. Video costs $0.06 per minute for on-screen text, or $0.10 per minute with speech transcription.
Billing is a prepaid wallet with no subscription or minimum, and the first top-up includes $5 in bonus credit so you can test on real workloads. Layout output, quality control and vector delivery are part of the product, not add-ons.
If you are mid-evaluation, our comparison pages set OCRs.ai side by side with Google Document AI, AWS Textract, Azure Document Intelligence and others — use them with your own documents, not instead of them.