Check OCR API Pricing: Cost Per Check Compared

Most rows on that card only buy text. Azure, Google and AWS have no check model, so those figures are the OCR rate before you build the MICR, amount and payee mapping. Custom extraction lets you define the check schema at $30 to $70 per 1,000 pages. 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 check OCR API cost?

It runs from about half a cent to twenty-five cents per check, depending on whether the vendor has a check model. Mistral Document AI reads a check at $0.005 a page on a generic schema. Azure, Google and AWS have no check model, so you use plain OCR at $1.50 per 1,000 pages plus your own mapping. Veryfi is the only vendor with a dedicated per-check rate, $0.25 per bank check, which buys a check-native schema.

Is there a prebuilt check OCR model?

Almost none. As of July 2026 Azure AI Document Intelligence has no check model, Google Document AI has no check parser, and AWS Textract has no check model. Veryfi is the only vendor that publishes a dedicated per-check rate, $0.25 per bank check, and even its page notes checks require custom pricing. Everyone else reads a check with generic OCR or a custom extraction model, and you build the MICR, amount and payee logic yourself.

What is the cheapest check OCR API?

For raw text off a check, Mistral Document AI at $5 per 1,000 pages, or $0.005 a check, is the cheapest verified structured rate, and the cloud OCR engines from Azure, Google and AWS sit at about $1.50 per 1,000 pages, or $0.0015 to $0.01 a check. Those are cheap because they only return text. The cost you cannot skip is mapping the MICR line, the amount and the payee into validated fields, which none of them do for you.

What is the MICR line and can OCR read it?

The MICR line is the string of numbers along the bottom of a check that encodes the routing number, the account number and the check number. It is printed in the E-13B magnetic font designed for machine reading. General OCR reads E-13B, but a check-tuned pipeline is more reliable on it, because the symbols are easy to confuse with ordinary digits. If your use case is remote deposit or ACH setup, MICR accuracy is the field that matters most, so test it on real checks before you commit.

Do Azure, Google or AWS extract checks?

Not with a dedicated model. Azure AI Document Intelligence, Google Document AI and AWS Textract all read a check as an image and return text or, with a custom extraction model, fields you define. None ships a check-native model that returns the routing number, account number, courtesy amount, legal amount, payee and date as labeled fields out of the box. You get cheap OCR at about $1.50 per 1,000 pages, or a custom model at $30 to $70 per 1,000, and you own the check schema.

How much does check extraction cost at scale?

At 20,000 checks a month, all single pages, Mistral Document AI runs about $100, a cloud OCR engine plus your own mapping about $30 in API cost but real engineering time, a full IDP product around $280 to $400, and Veryfi about $5,000 at $0.25 a check above its floor. The spread comes from whether you are paying for raw text you map yourself or a check-native schema that returns the MICR line and amounts ready to use.

What fields should a check OCR API return?

A useful check OCR API returns the MICR line broken into routing number, account number and check number, the courtesy amount (the digits) and the legal amount (the words), the payee, the payer name and address, the check date, and the memo. On a business check it should also flag a signature present or absent. Cloud OCR returns the text and leaves you to locate and validate these; Veryfi's check model and a full product return them as labeled, validated fields.

Is a check priced like a receipt or a bank statement?

Like a receipt on page count, since both are one page, but the model gap is wider. A receipt has prebuilt models at Azure, AWS, Google and Veryfi. A check has almost none, so the per-page OCR rate looks cheap but the real cost is the MICR and amount logic you build. A bank statement, by contrast, is multi-page and does have prebuilt models at Azure and Veryfi. See our receipt and bank statement OCR API pricing pages for those side by side.

Is there a free check OCR API?

Some vendors offer an allowance rather than a permanently free API. Veryfi processes 100 documents a month free, and Azure, Google and AWS give a free tier or new-customer credit on their OCR engines, enough to test check reading. These suit a proof of concept; steady check volume for AP, AR or remote deposit quickly moves onto paid rates. Be careful with any tool marketed as fully free for banking documents, as MICR accuracy and data handling usually suffer.

Which check OCR option is best for AP or remote deposit?

It depends on how much of the check logic you want to own. For remote deposit and treasury, where the MICR line and the amount must be right, a check-native option, Veryfi's model or a product with a review screen, reduces the risk of a wrong routing or account number. For a lighter internal workflow, cloud OCR plus your own MICR parsing is cheaper if you have the engineering time. A product that flags a low-confidence MICR line for a person to confirm is the safe middle.

How do I compare check OCR API pricing fairly?

Normalize to cost per check, remembering a check is one page, then separate two costs: the API rate to read the image, and the work to turn that text into validated fields. Confirm whether the vendor returns the MICR line, amounts and payee as labeled fields or only text, whether it was tuned on the E-13B font, and any monthly floor like Veryfi's $500. A cheap per-page rate that leaves you the MICR and amount logic is not cheaper once you count the build.