AI KYC Document Extraction Cost Calculator
KYC extraction pulls structured fields — names, addresses, IDs, dates — out of onboarding documents for verification. Each document is a moderate input with a small, structured JSON output.
Extracting structured fields from ~3.5K-token KYC docs, 4,000 documents a day.
Computed at today's verified prices (28 July 2026). Adjust the inputs below for your own numbers.
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Accepts PDF, TXT, DOCX. For cost estimation only — not financial advice. Confirm data-residency, audit and compliance requirements before sending customer or market data to a model.
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Why this number isn't obvious
This is high-volume and structured, so a cheaper model with reliable tool/JSON output beats a pricier one — consistency and schema-adherence matter more than raw intelligence. At onboarding scale, per-document cost is what compounds into the monthly bill.
For cost estimation only — not financial advice. Confirm data-residency, audit and compliance requirements before sending customer or market data to a model.
Frequently asked questions
Which model for structured extraction?+
A mid-tier model with strong function-calling/JSON support. Reliability of the schema matters more than top-tier reasoning, and it costs far less at volume.
Does OCR cost add on top?+
If your KYC docs are scans or images, yes — add per-page OCR before the LLM step. Digital-text documents skip that cost.
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Estimates for planning, not a quote. Pricing data last reviewed 28 July 2026.