Direct answer
Nanonets is an AI document platform. Its bank-statement product extracts fields from PDFs, photos and email attachments using OCR, priced in credits ($50 to start, then $100/month for 100 credits, blocks at $0.02 / $0.10 / $0.30 as of 8 September 2026). F20 FinanceOps is a free accounting-operations toolkit: BAI2, MT940, camt.053, text-layer PDF, then two-file reconciliation. F20 has no OCR and refuses scans. Choose Nanonets to embed extraction in a workflow. Choose F20 to parse a tagged bank file and match a cash book without storing the upload.
These products collide in search because both mention bank statements. Nanonets' bank-statement page is about capturing labels from documents that were never designed for machines. F20's converter pages are about files that were designed for machines and still fail in Excel.
If you put a camt.053 into Nanonets, you are using a general extraction stack on a specified XML message. It might work. It is the wrong layer. If you put a photographed HSBC PDF into F20, the tool will refuse it. Also the wrong layer.
What Nanonets' official pages say
The bank-statement OCR page lists default fields: account holder, account number, bank name, period, starting and ending balances, deposits, withdrawals, interest, and more. It mentions email attachment capture, photographing a document, and '90% straight through processing' as marketing copy on that page — we treat STP percentages as vendor claims, not F20 tests.
Pricing: no platform fee, no seat license on the story they publish. Starter is free credits then $100/100 credits. Growth is quote plus volume discount up to 40%. Enterprise lists SAML, HIPAA, SOC 2, private cloud, data residency, SAP/Oracle connectors.
What F20 is
A diagnostic engine. Deterministic parsers. A matching ladder. Close checks. Free. Not stored. Not an IDP platform. Not a place to train a model on invoices, IDs, and statements in one workflow.
Feature comparison
Different categories, forced into one table because you searched both.
| F20 | Nanonets | |
|---|---|---|
| Category | Finance-ops diagnostic | Document OCR / IDP |
| BAI2 / MT940 / camt.053 parsers | Yes | Not the published centre |
| Photo / scan / email PDF | No | Yes (official) |
| Two-file reconciliation | Yes | Not a recon suite |
| API for extraction | Not the product | Yes |
| Price | No charge | Credits + published block rates |
| File storage | Not stored | Cloud workflows; Enterprise has residency options |
Workflow
Nanonets: design a workflow, ingest from email or API, extract, route, post to a connector. That is operations automation.
F20: open a URL, drop one or two files, read the table. That is a controller's desk tool.
Pricing
Quote Nanonets from their pricing page only, dated 8 September 2026. Do not convert their invoice-workflow 'under $2' FAQ into a bank-statement price — they did not publish that.
Privacy
OCR platforms process documents in their cloud unless you buy a deployment option. Nanonets Enterprise copy lists private cloud / on-prem and data residency. F20's published model is in-memory processing with no retained file. Different buyers.
Limitations
F20 will never be your IDP layer. Nanonets, on the pages we read, will not be your BAI2 control-total engine or your GSTR-2B matcher.
A concrete split on one close
Accounts payable sends photographed supplier 'statements' that are actually PDFs of portals. That pile is Nanonets or BankXLSX, or a request to the supplier for a CSV. It is not F20.
Treasury drops a camt.053 and a BAI2 the same afternoon. That pile is F20. Putting those files through an OCR model is theatre. They are already structured.
If a company buys Nanonets for AP documents, they should not assume they have also bought bank-file operations. If they use F20 for treasury files, they should not assume they have also bought invoice OCR. Two contracts, two jobs, one close calendar. The expensive mistake is training a model on camt.053 because 'it is a document'. It is a message. Parse it.
Methodology
Official Nanonets bank-statement and pricing pages. F20 catalog and legal. No accuracy test.
Where F20 FinanceOps is a better fit
- The file is already a bank-system export (BAI2, MT940, camt.053) or a text-layer PDF.
- You need matching, not extraction models.
- You do not want to meter credits to open a statement.
Where Nanonets is a better fit
- Photos, scans, forwarded emails, mixed document types, custom models.
- You are a developer adding extraction to a product.
- You need SSO, HIPAA, or on-prem document processing as they list on Enterprise.
- Your intake is email inboxes full of mixed PDFs, not treasury host-to-host files. That is an IDP workflow. F20 will not watch a mailbox.
FAQ
Only if you used Nanonets as a clumsy parser for tagged bank files. If you used it for OCR, no.
Not for two-sided reconciliation as F20 defines it.
NOT VERIFIED. We did not run a corpus. F20 refuses scans rather than compete on OCR accuracy.
Yes. OCR the scan elsewhere, then recon the CSV on F20 if the columns are honest. Still check the printed closing balance.
No.
Not as the job we describe here. BAI2 is a specified record format with control totals. An OCR model that happens to read a printout of a BAI2 is still guessing at glyphs. Parse the file the bank emitted. Use Nanonets when the artefact is a photograph or a layout that was never a tagged message.
Sources
- Automate Data Extraction from Bank statements — Nanonets. Verified. Nanonets offers a pre-trained bank-statement OCR model, including photographs and email attachments.
- Pricing | Nanonets — Nanonets. Verified. Accounts start with $50 in free credits. Then $100/month for 100 credits. Blocks are priced at $0.02, $0.10 and $0.30 per run.
- F20 FinanceOps policies — F20 FinanceOps. Verified. Uploaded files are processed in memory and dropped when the response is sent. There is no charge to run a tool. Output is not professional advice.
- About F20 FinanceOps — F20 FinanceOps. Verified. Free tools for accountants: convert bank files, reconcile ledgers, and check the books. Not cloud FinOps.
Parse a tagged bank file on F20 — Do not upload a photograph. That is Nanonets' job as they describe it.