β
per monthβper page
βper 1,000
βper year
Match the OCR tier to the document
Raw text extraction is cheap; structured parsing costs more but can replace a pile of cleanup code. Price the structured route on the document parsing calculator.
What extracting text from images or PDFs costs per month.
Raw text extraction is cheap; structured parsing costs more but can replace a pile of cleanup code. Price the structured route on the document parsing calculator.
The OCR API Cost Calculator estimates your monthly bill for running optical character recognition through a hosted API. It takes two inputs β the number of pages or images processed per month and the price per 1,000 pages β and multiplies your volume by the per-page rate to project the total you will pay. Because OCR providers almost always bill by document volume, these two figures are the main drivers of your cost: as monthly throughput rises or the per-thousand rate changes, your bill moves in direct proportion. The tool makes that relationship explicit before you commit to a plan.
The practical point to watch is volume scaling. A rate that looks trivial per page can become a large recurring expense once you multiply it across tens of thousands of documents, so estimate your real monthly page count rather than a best-case figure. Providers also frequently offer lower per-1,000 rates at higher tiers, so it is worth testing a few volume and price combinations to see where a committed-use or bulk plan actually pays off.
Per page or per image, usually quoted per 1,000. Simple printed-text extraction is the cheapest tier; handwriting recognition, layout retention and table extraction move you to pricier tiers.
If you just need raw text, plain OCR is cheapest. If you need structured fields (invoices, forms, tables), a document-parsing API costs more per page but saves heavy post-processing β compare the total, not just the OCR rate.
Cost at different volumes:
| Volume | Monthly | Yearly |
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