Independent comparison: pricing, accuracy on UK and EU invoices, custom training, integration effort, and the case for skipping both when you only have a one-off batch.
Need a clean CSV done for you? £99 starter →| Feature | Mindee | Nanonets |
|---|---|---|
| Free tier | 250 pages/month, every month | 500 pages total (lifetime) |
| Paid pricing | From ~$0.10/page (PAYG) | From $499/month + per-page |
| Standard invoice model | Pre-trained, ready to use | Pre-trained, ready to use |
| Custom model training | Limited (within model API) | Strong (designed for it) |
| UK/EU invoice accuracy | High out of the box | High after training |
| QuickBooks/Xero CSV shape | Requires transformation | Requires transformation |
| Setup time | ~half a day for a developer | 1-3 days incl. training |
| End-user UI | API only | API + dashboard |
Mindee wins on cost for low and mid-volume use cases. The 250 free pages a month every month is the most generous standard-tier free allowance among mainstream invoice OCR APIs. Beyond the free tier, pay-as-you-go pricing scales linearly without enterprise contracts.
Nanonets has a higher floor. Most paid plans start around 499 USD a month with per-page costs on top. The 500 free pages are lifetime, not monthly, so they get used up during evaluation and never refresh. The pricing makes sense if you genuinely need custom model training. If you do not, you are paying for capability you will not use.
Standard supplier invoices, under 5,000 pages a month, willingness to ship a transformation layer between the API and your accounting tool. Most UK SMBs and accountancy practices fit this profile.
Non-standard documents (custom layouts, regional forms, shipping manifests, oilfield service tickets, medical lab forms), or organisations that already need the dashboard UI for non-developer reviewers.
Both tools advertise 90 to 95 percent accuracy on standard invoices. In practice, the gap shows up on edge cases: split-VAT line items, supplier statements with running balances, multi-currency invoices, and UK-specific quirks like distinct net/VAT/total columns separated from the line items.
Mindee tends to handle these cases more reliably out of the box because the pre-trained model has been exposed to a broader European invoice corpus. Nanonets matches or exceeds Mindee accuracy after a custom model is trained on your specific supplier mix, which is the trade-off the higher price tag is buying.
Neither tool has built-in human review for ambiguous fields. If you need that safety net, look at Rossum or a concierge service like Useful Patch's invoice/PO to CSV setup, which includes human QA on every batch.
Mindee gives you JSON. The API is simple, the schema is documented, and a junior developer can wire it into Make, Zapier, or n8n in an afternoon. The transformation step from JSON to QuickBooks or Xero CSV shape is yours to build.
Nanonets gives you JSON or CSV from the dashboard, plus a webhook for async processing. The integration surface is similar, but the dashboard adds a non-developer surface for reviewing flagged extractions, which can shorten internal handoff loops.
Neither tool is plug-and-play for accounting platforms. If your goal is "PDFs in, QuickBooks-shaped CSV out, no code", neither is the right answer.
If you have a one-off batch of supplier invoices to clear, evaluating two OCR APIs and writing a transformation layer is more work than the batch itself. The Useful Patch invoice and PO to CSV concierge exists for this case: send 5 to 10 sample PDFs, get a clean CSV in your accounting platform's import shape, plus a repeatable extraction recipe.
This also applies when you are evaluating tools but cannot commit to a monthly subscription, when the volume is real but lumpy (one big quarterly batch), or when you are an accountant trying to clear a single client's backlog this week.
Try the free fit-check tool first. Paste sample invoice text, get an instant grade, see whether your format extracts cleanly before paying for anything.
Pick Mindee if: you have a developer, standard supplier invoices, want pay-as-you-go pricing, and are happy to build a transformation layer.
Pick Nanonets if: your documents are non-standard, you want a non-developer review surface, and you have budget for a paid plan from day one.
Skip both and use a concierge if: you have a finite batch, no developer time, and want an accounting-platform-ready CSV without evaluating tools for a week.
Mindee is cheaper at low volume. 250 free pages a month plus pay-as-you-go from around 0.10 USD per page. Nanonets has a 500 free page lifetime tier and paid plans typically start at 499 USD per month.
Mindee out of the box. Nanonets matches or exceeds Mindee after a custom model is trained on your supplier mix.
Both output structured JSON or CSV but neither maps natively to QuickBooks bills CSV or Xero TaxType codes. You need a transformation step.
Not for standard invoices. The standard model is fine for common layouts. Custom training pays off when documents are genuinely non-standard.
Neither is the right tool. Use a fixed-price concierge for one-off batches, or pair an OCR API with a no-code transformation tool like Make or Zapier for ongoing volume.
Send 5 to 10 sample invoices. Get back a CSV in QuickBooks or Xero import shape. Fixed price.
£99 starter, no subscription →For sharing with your team or saving for later. No spam, no sequence.
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