Providers ranked by monthly cost
Rates for the tier you selected. Mindee prices flat per page-credit regardless of tier; Nanonets is modeled from its published per-block workflow pricing.
| # | Provider | $/1,000 pages | Monthly | Free tier |
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Why the "OCR pricing" headline is misleading
Every comparison article quotes the same eye-catching number: OCR costs about $1.50 per 1,000 pages. That figure is real — AWS Textract, Google Document AI and Azure Document Intelligence all land almost exactly there for plain text detection — but it's not what most document-AI shoppers actually pay. The instant you need a structured field out of a document — an invoice total, a form's key-value pairs, a table's cells — the price jumps 5 to 33× higher, because the provider now runs layout analysis and field classification on top of simply reading the page. AWS's jump is the steepest (plain OCR to Forms is a 33× multiplier); Azure's is the gentlest (about 7×). If your workload is invoices, receipts or contracts — not plain text — the structured-tier number is the one that decides your bill, and it's rarely the number in the headline.
Mindee and Nanonets don't price like the clouds at all
Mindee sidesteps the cliff entirely: it charges a flat credit per physical page (about $0.044/page) whether you're running plain OCR, a prebuilt invoice model, or a custom-trained one. That makes Mindee pricier than commodity cloud OCR but often cheaper than the clouds' structured-extraction tiers, with none of the surprise multiplier. Nanonets goes the other direction: it charges per workflow block — classify, extract, validate, export — and those blocks stack. Its own published example prices a full invoice workflow at roughly $0.54/document, which is dramatically higher than any per-page OCR rate because you're paying for a multi-step pipeline, not a single read. Neither vendor's number is directly comparable to a cloud's per-page rate unless you match the actual work being done.
Bring the LLM and pipeline cost into the picture
Extracted text or fields rarely stop at extraction — they usually feed a downstream LLM for summarizing, validating or answering questions, and that step is often the larger line item. Size the token side with the LLM token cost calculator, model a full extract-then-analyze pipeline on the document processing pipeline calculator, and compare against the broader OCR-vs-LLM-vision landscape on the OCR & Document AI cost calculator.
How to use it
1. Enter how many pages you process per month.
2. Choose basic OCR, structured forms/tables, or a custom-trained model — this switches every provider to the matching rate.
3. Read the cheapest option, its per-1,000-page rate, and how much you'd overpay with the priciest provider at your volume.
Common mistakes
Paying structured rates for plain-text work. If you only need the words on the page, never call AnalyzeDocument Forms or a Form Parser — the plain-OCR endpoint is a fraction of the price. Comparing Mindee/Nanonets to cloud OCR at face value. Their per-page and per-block numbers already include work the raw cloud OCR APIs don't do; compare them to the cloud's structured tier, not its basic tier. Ignoring free tiers. Azure and AWS both give monthly free pages that can cover a small pilot entirely. Forgetting the training/hosting add-ons. Google's custom processors bill hourly hosting per version, and AWS's custom adapters bill training separately — neither shows up in the flat per-page rate.
FAQ
How much does OCR / document AI cost per page in 2026?
Plain OCR clusters around $1.50 per 1,000 pages across AWS, Google and Azure. Structured extraction (forms, tables, invoices) costs $10–50 per 1,000 pages — 7 to 33× more — because it adds layout and field analysis on top of reading text.
AWS Textract vs Google Document AI vs Azure Document Intelligence — which is cheapest?
Tied on plain OCR at $1.50/1,000 pages. Azure is cheapest for structured forms ($10/1,000); AWS is priciest there ($50/1,000). For custom models, AWS's adapter rate ($15/1,000) is lowest but excludes training cost; Google and Azure both charge $30/1,000.
How is Mindee priced differently?
A flat ~$0.044 per-page credit, the same rate whether it's plain OCR, a prebuilt invoice model, or a custom model — no structured-extraction multiplier like the clouds charge.
How does Nanonets' block pricing work?
Per workflow step: $0.02 simple, $0.10 standard-AI, $0.30 complex-AI, stacked 4–6 blocks per document. A typical invoice workflow runs about $0.54/document by Nanonets' own example.
Estimate only. Prices are reference figures for 2026 and change — verify current rates with each provider before committing.