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FormX.ai vs Nanonets

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper
Nanonets — $100/mo vs $299/mo for FormX.ai
Free plan
Neither — FormX.ai has paid plans only, Nanonets has paid plans only
Public API
Both have one
Best fit
FormX.ai: Retail and loyalty apps validating uploaded receipts at scale · Nanonets: Accounts payable teams pushing captured invoice data into SAP, NetSuite or QuickBooks
Trust score
About even — FormX.ai 92, Nanonets 96

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactFormX.aiNanonets
CategoryEntity Formation & Back OfficeEntity Formation & Back Office
Pricing modelPaidPaid
Starts at$299/mo$100/mo
Public APIYesYes
Trust score92 / 10096 / 100
PlatformsWeb, APIWeb, API
CompanySkyMakers Digital LimitedNanonets
Launched—2017
Last verifiedOct 16, 2026Oct 16, 2026

What our research says

FormX.ai

A pragmatic choice when your documents are the common Asian and international receipt, invoice and ID formats and you want an endpoint rather than a training project. The per-extractor pricing punishes anyone processing many different document types.

Pros

  • Preconfigured extractors mean common document types work without labelling training data
  • 100 free pages is enough to genuinely test accuracy on your own documents
  • Mobile SDK captures on-device rather than forcing an upload-then-process flow
  • Zapier and n8n connectors let non-developers wire it into existing automations

Cons

  • Starter is priced per extractor, so three document types means three times $299
  • The $299/mo step up from pay-as-you-go is steep with no tier in between
  • The contracting entity is a small UK company registered in Stockport while processing runs in the US, Taiwan or Singapore, so read the DPA if residency matters
  • Advanced features (smart learning, table extraction, fraud detection) are locked out of pay-as-you-go entirely

Nanonets

The right pick when your bottleneck is genuinely messy paperwork at volume — invoices, POs, bills of lading — and you need audit trails plus an ERP write-back, not a chat window that reads one PDF. If you handle a few dozen documents a month, a general-purpose model does the same job for pennies.

Pros

  • Per-run pricing with no seat licences, so adding reviewers does not raise the bill
  • Credits are pooled across the team and never expire
  • Long connector list: SAP, NetSuite, QuickBooks, Xero, Salesforce, Snowflake, plus email and cloud-storage intake
  • Compliance and deployment options (HIPAA, SOC 2, private cloud, US/EU/APAC residency) most IDP startups do not offer

Cons

  • Once the $50 trial credits run out the entry tier is $100/month
  • Classification AI, generative blocks and ERP connectors sit behind the quote-only Growth tier
  • Cost is hard to forecast until you know how many blocks your workflow actually fires
  • Accuracy marketing leans on the vendor's own leaderboard, which is worth retesting on your documents

Which one fits

Choose FormX.ai if you need

  • Retail and loyalty apps validating uploaded receipts at scale
  • Finance and logistics teams automating invoice and shipping-document intake
  • Onboarding flows extracting data from ID cards and address proofs

Choose Nanonets if you need

  • Accounts payable teams pushing captured invoice data into SAP, NetSuite or QuickBooks
  • Logistics and trade ops handling bills of lading and customs paperwork
  • Regulated buyers who need HIPAA/SOC 2 plus on-prem or regional data residency
  • Processes that require human approval gates on low-confidence fields

FormX.ai vs Nanonets: the questions people ask

Is FormX.ai cheaper than Nanonets?

On published entry prices, Nanonets starts lower — $100/mo against $299/mo for FormX.ai. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Which has a public API, FormX.ai or Nanonets?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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