Nanonets is a well-known document-AI platform, strong on accounts-payable automation and a large catalogue of ERP and accounting integrations. If you are weighing it against alternatives, this page sets out where aiXtractor differs, where Nanonets is the better choice, and how the pricing compares.
Nanonets' figures below come from its public pricing page as of November 2026. Its Growth and Enterprise plans are quoted on request, so there is no public number for them; prices and plans change, so check its site before you decide.
At a glance
| aiXtractor | Nanonets | |
|---|---|---|
| Entry price | $29/month for 500 pages, published | Free credits, then usage-based; Nanonets' FAQ cites "under $2 per invoice" at its complex-AI rate |
| Free option | 50 pages every month, no card | $50 in credits, no card |
| Pricing model | Flat per-page plan, published up front | Per-run credits ($0.02–$0.30 per block, ~4–6 blocks per invoice); Growth and Enterprise by quote |
| Documents | Bank and card statements, invoices, receipts, tax forms, capital account statements, any custom type | Invoices, purchase orders and AP documents; custom models |
| Evidence for each value | Each value is linked to the box on the page it came from | Confidence score per field, with approve / edit / reject |
| Checks before export | Balance roll-forward, totals, line maths and your own rules in plain language | Validation blocks and confidence thresholds |
| Second-model verification | A second model re-reads every field independently | Not described as a second independent model |
| Prebuilt ERP / accounting integrations | CSV, Excel and JSON export; REST API and webhooks | Extensive: SAP, NetSuite, QuickBooks, Xero, Oracle and many more |
| Workflow automation | Extraction and checks only | Multi-step agent workflows across a document's lifecycle |
| API | REST and signed webhooks | REST and GraphQL API |
Where aiXtractor is different
Pricing you can work out in advance
aiXtractor's $29 plan includes 500 pages a month at a flat rate, published on the page. Nanonets prices per block run, so the cost of a document depends on how many blocks a workflow uses, and its Growth and Enterprise tiers are quoted on request. For a predictable monthly bill on a known page count, a flat per-page plan is easier to reason about than per-run credits.
Every value is linked to the page
When aiXtractor reads a document it records where each value was found. Click any figure in the output and the page view highlights the exact cell. Nanonets attaches a confidence score to each field and routes low-confidence ones to a human; aiXtractor adds the visual trail, so a reviewer can confirm a sampled figure against the source in one click rather than trusting a score.
The numbers are checked before you export
aiXtractor reconciles what it reads: balance roll-forwards on statements, totals against line items on invoices, and any rule you write in plain language. A second model also reads the document independently, and any field where the two disagree is flagged. That is verification of the arithmetic, not only a per-field confidence estimate.
Self-serve, no sales call
You can sign up, upload a document and see the result on the free plan without talking to anyone. Nanonets' entry tier is self-serve too, but its volume and enterprise pricing go through a quote.
Where Nanonets is the better fit
- You are automating accounts payable end to end. Nanonets is built around AP and order workflows, with approval routing and posting back into finance systems.
- You need deep ERP and accounting integrations. Its catalogue — SAP, NetSuite, Oracle, QuickBooks, Xero and more — is far larger than exporting a file and uploading it.
- You want multi-step agent workflows. Nanonets chains classification, extraction, validation and routing into one automated pipeline; aiXtractor does extraction and checks, and hands you the data.
- You need on-prem or heavy compliance. Nanonets offers private and on-prem deployment, SSO and audit controls for large organisations.
- Your model should learn from corrections. Nanonets improves from human edits over time; aiXtractor's behaviour is driven by editable prompts rather than learned from your past fixes.
What users ask about
Teams comparing extraction platforms tend to ask the same things: what a document actually costs once a workflow is built, how much setup each needs, and how they will check a result they cannot fully trust. Whichever tool you choose, run your own documents through it, price a realistic monthly volume, and confirm that a sampled value can be traced back to the page.
On cost, aiXtractor's per-page plan is fixed; Nanonets' per-run model can be cheaper or dearer depending on how many blocks your workflow uses, so estimate it on your own document mix. On checking, aiXtractor leans on reconciliation and source-linking; Nanonets leans on confidence scores and a review queue. Both are reasonable; they suit different appetites for how a number gets verified.
How to evaluate both
- Pick ten documents you know well, including a multi-page one and an awkward layout.
- Run them through both tools.
- For each result, check the totals against the source and click through to confirm a sampled value.
- Price your real monthly volume on each: a flat per-page plan on one side, estimated block runs on the other.
The tool that gives you a correct, checkable result at a price you can predict is the right one for your workload.
You can start with aiXtractor's free plan, 50 pages a month, without a card.