Bank Statement OCR API Pricing: Cost Per Statement Compared

Two rows on that card need your own numbers to pin down. AWS Textract has no dedicated bank statement model, so the figure is what it costs to build the schema from its Tables, Forms, and Queries features at $70 per 1,000 pages, and you own the transaction parsing. The DocuOCR figure is a product range that includes classification, review, and export, not a raw OCR rate. For the full per-vendor rate cards, see the OCR API pricing comparison.

How much does a bank statement OCR API cost?

It ranges from about two and a half cents to seventy-five cents per statement, depending on the billing unit. Mistral Document AI runs about $0.025 for a five-page statement and Azure about $0.05, both per page. Veryfi charges a flat $0.25 per statement document, and Google's dedicated Bank Statement parser charges $0.75 per document regardless of page count.

What is the cheapest bank statement OCR API?

For structured transaction data, Mistral Document AI is the cheapest verified rate at $5 per 1,000 pages, about $0.025 for a typical five-page statement. Azure AI Document Intelligence follows with its prebuilt Bank Statement model at $10 per 1,000 pages, about $0.05. Both bill per page, so they stay cheap even on long statements, unlike the per-document parsers.

Why does Google charge $0.75 for a bank statement?

Google's Document AI Bank Statement parser bills $0.75 per classified document, a flat fee that does not change with page count. That buys a statement-native model that already knows the schema: account details, statement period, running balance, and per-transaction rows. On a five-page statement it works out to roughly 15 times Azure's per-page cost, so you pay for the ready-made schema, not for the pages.

Is bank statement OCR billed per page or per document?

Both, and the difference is larger for statements than for any other document because statements are multi-page. Azure and Mistral bill per page, so a ten-page statement costs ten pages. Veryfi bills $0.25 per document up to 15 pages, and Google's Bank Statement parser bills $0.75 per document. On statements the per-page vendors are almost always cheaper, because a statement is several pages, not one.

Does AWS Textract extract bank statements?

AWS Textract has no dedicated bank statement model. You extract statement data by combining its Tables, Forms, and Queries features at $70 per 1,000 pages, or by running plain Detect Document Text at $1.50 per 1,000 and parsing the transactions yourself. Either way you build the statement schema, the account, period, balances, and transaction rows, that Google's and Azure's prebuilt models return out of the box.

How much does bank statement extraction cost at scale?

At 5,000 statements a month of about five pages each, Mistral Document AI runs about $125, Azure's prebuilt Bank Statement model about $250, a full IDP product around $350 to $500, Veryfi about $1,250 at its per-document rate, and Google's dedicated Bank Statement parser about $3,750. The billing unit, per page versus per document, accounts for almost the entire 30x spread.

What fields does a bank statement OCR API extract?

A good bank statement API returns structured fields, not just text: account holder and account number, bank name and address, statement period, opening and closing balance, and a row for each transaction with date, description, amount, and running balance. Google's and Azure's prebuilt statement models return this schema directly. Plain OCR endpoints return only the raw text, leaving you to reconstruct the transaction table.

Is there a free bank statement OCR API?

Some vendors offer an allowance rather than a permanently free API. Veryfi processes 100 documents a month free on an ongoing basis. Azure's free tier covers 500 pages a month, enough to test its prebuilt statement model. Google offers a new-customer credit. These allowances suit testing and low volume; production statement processing quickly moves onto paid per-page or per-document rates.

Do bank statements count as multiple pages for OCR pricing?

Yes on per-page vendors, and that is the whole point. Azure and Mistral charge for every page, so a six-page statement is six pages of billing. Veryfi treats a statement of up to 15 pages as one $0.25 document, and Google's Bank Statement parser treats it as one $0.75 document. So for long statements the per-document vendors flatten the cost, while for short ones the per-page vendors are cheaper.

Which is cheaper for bank statements, Veryfi or Google?

Veryfi, on price. Veryfi charges $0.25 per statement document up to 15 pages; Google's dedicated Bank Statement parser charges $0.75 per document. For the same statement Veryfi is three times cheaper. Google's parser competes on statement-native field quality and Google Cloud integration, not on price. The per-page options, Azure and Mistral, undercut both at typical statement lengths.

How do I compare bank statement OCR API pricing fairly?

Pick a realistic page count for your statements, five is typical, then normalize every vendor to cost per statement at that length. Check whether the rate is per page or per document, whether a per-document cap like Veryfi's 15 pages applies, and whether the vendor returns statement-native fields or only text. Add the free allowance and any monthly floor, such as Veryfi's $500 minimum. Only then are the vendors comparable.