Nanonets runs on a usage-based credits model. Every account starts with $200 in free credits, then you pay per run, roughly $0.02 to $0.30 each, which lands at under $2 per invoice on a typical workflow. The Growth and Enterprise plans are custom-quoted. This page breaks down what Nanonets actually costs at real invoice volume and shows where a flat monthly tool like InvoiceExtractor (from $49 a month, with no per-page metering) comes out cheaper and far more predictable. Upload an invoice below to compare extraction yourself.
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Nanonets moved to a usage-based credits model, which is flexible but makes the real monthly cost hard to predict before you commit. Here is what trips up most buyers trying to compare it.
Pricing is metered in credits spent per run, and a single invoice triggers several runs, sometimes called blocks. You have to know how many runs your workflow uses before you can estimate a bill.
Simple steps cost about $0.02, standard AI about $0.10, and complex AI about $0.30 per run. The mix you actually use decides your cost, so two teams at the same invoice count can pay very different amounts.
Past the starter credits, the Growth and Enterprise plans are custom-quoted. You usually need a sales conversation to learn what you will pay at your real volume.
The $200 in starting credits feel generous, but at roughly $1.50 to $2 an invoice they cover only one to a few hundred invoices. After that, the meter starts.
Usage pricing scales with every document, so a busy month costs more than a quiet one. For AP teams with steady volume, a moving monthly bill is hard to plan around.
Discounts of up to 40% exist, but they apply to larger credit purchases and enterprise commitments, so the lowest effective rate is not the one shown on the public page.
Stripped down, here are the parts that make up a Nanonets bill, checked against their published model in July 2026. Confirm the current numbers on the Nanonets pricing page before you buy, since usage rates change.
Every new account begins with $200 in credits that are shared across your team and do not expire, enough to test on a few hundred documents before you pay anything.
There are no seat licenses or platform fees. You pay for the runs you use: about $0.02 for simple steps, $0.10 for standard AI, and $0.30 for complex AI.
A typical invoice workflow uses four to six runs, so end to end it lands at under $2 per invoice, with the per-page OCR figure sitting around 30 cents.
Beyond the free credits, Growth and Enterprise are quoted to your volume and needs, with onboarding support on the higher tier and no public list price.
Larger credit purchases and enterprise commitments unlock discounts, so high-volume buyers pay a lower effective rate than the headline per-run price.
Because you only pay for what you process, a slow month costs less, but a heavy month costs more, which is the core trade-off against a fixed plan.
Use this to turn the per-run model into a number you can actually budget.
Pull last month's invoice volume and the average pages per invoice. A five-page invoice costs more than a one-pager because OCR is metered per page.
Tip: Most US AP teams average 1 to 2 pages per invoice.
Use roughly $1.50 to $2 per invoice end to end as a planning figure, or about $0.30 per page if you only need extraction. So 500 invoices a month works out to roughly $750 to $1,000 before any discount.
Put that number next to a fixed monthly plan. If your volume is steady, a flat plan is usually cheaper and easier to forecast. If it is very low or spiky, pay-as-you-go can win.
The usage model is a good deal for some teams and an expensive one for others.
If you process a handful of documents some months and none in others, paying only for what you use beats a fixed subscription.
Teams that process hundreds of invoices every month usually pay less, and forecast better, on a flat plan than on per-run credits.
Nanonets bundles many document types and workflows, which suits teams standardizing on a single usage-billed API.
If you just need vendor invoices turned into clean Excel or CSV, a simple flat tool is usually cheaper than metered runs.
Last updated July 2026. Nanonets meters usage and updates its rates over time, so treat the figures here as the current published model and confirm the latest numbers on the Nanonets pricing page before you buy.
Nanonets prices by usage, while InvoiceExtractor prices by a flat monthly plan with a generous page allowance. For an AP team with steady invoice volume, that difference is most of the story: one bill moves every month, the other does not. Here is an honest comparison of the two on the things that actually decide your cost.
| Pricing detail | Nanonets | InvoiceExtractor |
|---|---|---|
| Pricing model | Usage-based credits, billed per run | Flat monthly plan |
| Free to start | $200 in starting credits | Free to test, no card |
| Entry paid price | Custom quote above free credits | $49 per month |
| Cost per invoice | About $1.50 to $2 end to end | Included in plan, no per-run fee |
| Cost per page | About $0.30 per page | No per-page charge within plan |
| Page allowance | Pay for each page processed | 2,500+ pages/mo on Starter, 10,000+ on Plus |
| Line items | Yes | Yes, full line-item tables |
| Setup | Workflow and block configuration | None, works on first upload |
| Best for | Low or spiky volume, multi-document platforms | Steady invoice volume, predictable budgets |
Because Nanonets bills per run, your monthly cost tracks your document count. Using their published per-run rates and a typical four-to-six-run invoice workflow, here is a planning estimate. Your real number depends on invoice complexity and any negotiated discount, so treat these as rough brackets, not quotes:
Now put those next to a flat plan. InvoiceExtractor Starter is $49 a month and includes 2,500 pages, and the Plus plan is $149 a month with 10,000 pages, with line items and multi-page invoices on both. A team running 500 invoices of one or two pages each fits comfortably inside a flat plan that costs a fraction of metered credits, and the bill is identical every month. If your volume is genuinely low or unpredictable, Nanonets pay-as-you-go can be the cheaper choice. That is the honest trade-off, and it is worth doing the math on your own numbers.
Nanonets is a capable platform and it earns its price for some teams. If you process many different document types, not just invoices, and you want one usage-billed system with built-in workflows and a large integration library, Nanonets covers more ground than a focused invoice tool. Developers metering a single API across a product also benefit from paying only for what they use. We lay out the full case for switching on a separate page, but cost is not always the deciding factor, and it is fair to say Nanonets wins on breadth.
For the specific job of turning vendor invoices into clean spreadsheet data, metered pricing usually costs more than it needs to. InvoiceExtractor reads any vendor layout with no template to build, captures every line item, and exports to Excel or CSV on a fixed monthly price. You can see how it stacks up against the wider field on our best invoice data extraction software comparison, and the invoice data extraction software overview covers exactly what gets captured. If you would rather read PDFs, scans, and photos specifically, the invoice OCR software page goes deeper on accuracy.
Once the data is out of the invoice, the next cost most teams look at is the payment workflow itself. If you are pricing the whole accounts payable stack, it is worth comparing dedicated accounts payable automation software for approvals and payments, and purchase order management software if you match invoices to POs before you pay. Getting the extraction step right first keeps the rest of that stack fed with clean, structured data.
Nanonets uses a usage-based credits model. You start with $200 in free credits, then pay per run, about $0.02 for simple steps, $0.10 for standard AI, and $0.30 for complex AI. A typical invoice costs under $2 end to end. Growth and Enterprise plans are custom-quoted to your volume.
Nanonets is not free for ongoing use, but every account starts with $200 in credits that are shared across your team and do not expire. That covers roughly one to a few hundred documents depending on complexity. Once the credits run out, usage billing begins at the published per-run rates.
Nanonets charges per run, and runs are metered partly by page. OCR works out to about $0.30 per page, while a full invoice workflow of four to six runs lands at under $2 per invoice. A five-page invoice therefore costs more to process than a one-page invoice.
For OCR and document extraction, Nanonets costs roughly $0.30 per page at the complex-AI run rate. Simpler steps cost less, around $0.02 to $0.10 per run. The exact figure depends on which AI runs your workflow uses, so confirm the current rates on the Nanonets pricing page.
Yes. Instead of a time-limited trial, Nanonets gives every new account $200 in starting credits, so you can test the platform on real documents before paying. The credits are shared across your team and do not expire, which lets you trial extraction on a few hundred documents.
Nanonets is worth it if you process many document types and want one platform with workflows and integrations, or if your volume is low and spiky enough that pay-as-you-go beats a subscription. For steady, invoice-only volume, a flat monthly tool is usually cheaper and easier to budget.
The cheapest way to use Nanonets is the free starting credits, after which the Growth plan is the entry paid tier, custom-quoted to your usage. There is no fixed low-cost monthly subscription published, so the cheapest real cost depends on how many documents you process each month.
For invoice extraction specifically, yes. InvoiceExtractor uses a flat monthly plan from $49 with a generous page allowance and no per-run metering, so steady volume usually costs less than Nanonets credits and the bill never moves. Test both on your own invoices to compare accuracy and total cost.
See the full feature-by-feature Nanonets alternative comparison.
Compare the top invoice extraction tools on price and accuracy.
Extract every field and line item to structured data.
Read PDFs, scans, and photos with AI-based invoice OCR.
Capture full line-item tables, not just the totals.
Comparing template parsers on cost? See Docparser pricing.
Pricing a developer OCR API? See the Mindee pricing breakdown.
Comparing cloud OCR APIs on cost? See AWS Textract pricing per page.
Prefer an API? Pull invoice data to JSON without credit metering.
Start turning your invoices into clean, structured spreadsheet data.
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per month
billed as
$288 yearly
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| Base AI Faster | 2,500 pages |
| Pro AI Best accuracy | 500 pages |
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per month
billed as
$888 yearly
Choose speed vs accuracy when extracting
| Base AI Faster | 10,000 pages |
| Pro AI Best accuracy | 2,000 pages |
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USD
per month
billed as
$ yearly
Choose speed vs accuracy when extracting
| Base AI Faster | pages |
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