Axia Extract vs Nanonets.

Both are AI-based, no-template extraction tools. The pricing models differ: Nanonets charges per workflow block run, complexity-priced, while Axia Extract charges a fixed rate per page by extraction model.

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Side by side

Block-run pricing vs. flat per-page pricing.

 NanonetsAxia Extract
Pricing basisPer block run, $0.02–$0.30, complexity-pricedPer page, by extraction model
Pricing published for extraction
AI-based, no template
Handwriting support
Confidence score per field
Published accuracy benchmark
REST API
Free trial$50 in credits

Nanonets pricing and features per its public pricing page, checked September 2026. Nanonets revises pricing periodically — confirm current rates before budgeting.

Benchmarked accuracy

98.2% field accuracy, published openly.

98.2%

Axia Extract — published SROIE2019 benchmark

Not published

Nanonets — no public per-field benchmark

Benchmarked against SROIE2019, a public dataset of 347 real-world receipts. Nanonets does not publish a comparable public per-field benchmark.

See the full accuracy report

FAQ

Axia Extract vs Nanonets, answered.

How does Nanonets pricing compare to Axia Extract?
Nanonets prices per workflow "block run," from $0.02 to $0.30 depending on operation complexity, on top of a $100/month plan for 100 credits after a $50 free-credit trial. Axia Extract prices per page by extraction model, 1 to 12 credits depending on schema complexity, at ₱0.50 to ₱0.35 per credit as volume scales, with the exact per-page cost published on the pricing page.
Is Nanonets' pricing easy to estimate in advance?
It depends on your workflow's block composition, since different blocks (extraction, classification, custom Python) each carry their own per-run price. Axia Extract's per-page credit cost is fixed by extraction model tier, so a team can estimate total spend from expected page volume alone.
Does Nanonets use templates or AI?
Nanonets is AI-based, similar to Axia Extract, and supports handwriting and classification. The two mainly differ on pricing structure: block-based and complexity-priced for Nanonets, flat per-page credit pricing for Axia.
Does Nanonets publish accuracy benchmarks?
Not a public per-field number. Axia Extract publishes field-level results on the public SROIE2019 dataset: 98.2% average accuracy, 99.9% on financial totals, 93.2% on handwriting.
Which is better for high-volume, simple documents?
For high-volume documents with a straightforward schema, Axia's Small tier (1 credit/page) is built specifically for that case and its per-page cost is fixed and published. Nanonets can work well too, but its per-run pricing means the actual cost per document depends on which blocks the workflow uses.

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Nanonets vs Axia Extract, by pricing predictability.

Nanonets and Axia Extract are close cousins: both AI-based, both template-free, both built with an API-first workflow in mind. The difference shows up on the invoice at the end of the month. Nanonets prices per workflow block run, so a document that touches extraction, classification, and a custom Python step stacks three separate charges before you know the total.

Diagram contrasting Nanonets, priced per workflow block run, against Axia Extract's flat rate per page
One stacks charges per block. One doesn't.
Nanonets' three pricing tiers
TierIncludes
Starter ($50 free, then $100/mo)100 credits/mo, data extraction AI, API access, up to 3 users
Growth (custom quote)Classification AI, custom Python blocks, ERP integrations, up to 40% volume discount
Enterprise (custom quote)SSO/SCIM, RBAC, HIPAA & SOC 2, private cloud deployment

Beyond Starter, block-run pricing runs $0.02 to $0.30 per run depending on operation complexity, before any volume discount is applied.

Axia Extract instead charges a fixed credit rate per page, set by which extraction model your schema needs, published in full on the pricing page. That matters most for teams running high volumes of simple, repetitive documents, receipts, standard invoices, single-page forms, where the Small tier's flat per-page rate is easier to forecast against a monthly budget than a variable block-run total. Our breakdown of Axia's model tiers shows exactly which schema shapes land in each pricing bucket.

Neither tool requires a template, and both return confidence scores worth building a review queue around. If your workflow is genuinely complex, multiple AI blocks chained together, Nanonets' flexibility may earn its cost. If it's mostly one document type at real volume, Axia's flat per-page rate is the easier number to plan around.