GCP Document AI cost: per page, by processor type

Quick answer

Document AI bills per page processed, at rates that rise with processor sophistication: general OCR is cheapest, form and specialized parsers (invoices, receipts, IDs) cost more, and custom and generative processors cost more still. So the lever is routing each document to the cheapest processor that meets its need, rather than running specialized parsers on documents that only need text extraction.

Google Cloud Document AI extracts structure and data from documents using processors, from general OCR to specialized parsers for invoices, receipts, and identity documents, to custom and generative ones. It is priced per page, with the rate depending on the processor, so matching the processor to the document is the cost decision.

Per page, by processor

Processor	Relative cost
General OCR / document text	Lowest per page
Form parser	Higher per page
Specialized (invoice, receipt, ID)	Higher per page
Custom / generative processors	Highest per page

General OCR that extracts text is the cheapest per page. Form parsers that extract key-value pairs and tables cost more, specialized parsers tuned for document types (invoices, receipts, IDs) more still, and custom or generative processors the most. So the same page costs very differently depending on which processor handles it.

Route documents to the right processor

The saving is running each document through the cheapest processor that meets its need. A document you only need the text from should use OCR, not an invoice parser. An invoice should use the invoice parser. Routing by document type, rather than running a specialized or generative processor on everything, avoids paying premium rates for simple extraction.

Controlling Document AI cost

Use the cheapest processor that meets each document type's need, avoid specialized and generative processors where OCR suffices, cache results so you do not reprocess documents, and pre-filter blank or irrelevant pages. The processor-matching discipline mirrors Textract's feature-matching: pay for the analysis the document actually requires, not the maximum available.

FAQ

How is GCP Document AI priced?

Per page processed, at rates that rise with processor sophistication: general OCR is cheapest, form parsers cost more, specialized parsers for invoices, receipts, and IDs more still, and custom and generative processors the most. The same page costs differently depending on which processor handles it.

How do I reduce Document AI cost?

Route each document to the cheapest processor that meets its need, use OCR for text-only documents rather than specialized parsers, avoid generative processors where simpler ones suffice, cache results to avoid reprocessing, and pre-filter blank or irrelevant pages. Matching the processor to the document is the main lever.

Why do specialized Document AI processors cost more?

Because they do more: form parsers extract structured key-value pairs and tables, specialized parsers are tuned for specific document types, and custom and generative processors apply advanced models. This extra capability is priced higher per page, so running them on documents that only need OCR over-pays.

Should I use a specialized parser for every document?

No. Running invoice, receipt, or generative processors on documents that only need text extraction over-pays for capability you do not use. Route documents to the appropriate processor by type, OCR for text, form parser for forms, specialized for their document type, so each page is processed at the cheapest sufficient rate.

Does Document AI charge per document or per page?

Per page. A multi-page document bills for each page processed at the processor's rate, so document length and processor choice together determine cost. Pre-filtering unnecessary pages reduces the page count billed, and choosing the right processor sets the per-page rate.

Does C3X estimate Document AI cost?

Document AI cost is driven by pages processed and processor type, which are usage inputs. C3X prices the surrounding infrastructure, and you model your document page volume and the processor each type needs to estimate the per-page charges.

What to do next

Estimate the infrastructure around your document pipeline before you build it. C3X reads your Terraform and prices your resources against a live catalog. Start with the quickstart.