Comparison
VisionParse vs Nanonets
A workflow platform billed in credits per block rather than per document — their own estimate is under $2 an invoice end to end. Read their terms on derived data carefully.
Nano Net Technologies Inc. · every figure below comes from their own documentation, linked and dated · last checked 2026-08-08
Where Nanonets is the better choice
- Over 200 languages, with 226 named on their page.
- $50 of credits at signup, with no card required.
- A workflow builder that chains extraction, classification, validation and approval — we do extraction and stop.
Where we are
- Your documents are never used to improve our models, and we put that in writing. Nanonets’ terms grant them rights over data derived from your documents, expressly including improving and marketing their own products, with no platform-wide opt-out.
- One credit covers a whole document up to 25 pages. Their extraction block bills per PAGE, and it is one of several blocks a real workflow uses.
- A published price you can total up before signing up, rather than an estimate of "under $2 per invoice".
Side by side
| VisionParse | Nanonets | |
|---|---|---|
| Text extraction price | $19/month for 2,000 pages — $9.50 per 1,000 | No separately-priced OCR-only tier is published on the paid platform. Reading a page is billed as the Data Extraction AI block at 0.30 credits per run, and for that block one run = ONE PAGE, not one document. At the published rate of $100/month for 100 credits (1 credit = $1), that is $0.30 per page. Nanonets' docs add that even this is not fixed: "AI block prices can vary based on processing requirements... Contact your account manager." A free plain-text/markdown path exists outside the paid platform via DocStrange (see freeTier). Checked 2026-08-08.| Data Extraction AI | Each page processed by an AI model | Running Invoice AI on a 5-page document = 5 runs |source, checked 2026-08-08 |
| Structured field extraction | 1 AI credit a document; 250 included on the $19 plan | $0.30 per page for the Data Extraction AI block ("Complex AI"), but that is only one block of several billed per document. The pricing page's own estimate is "under $2 per invoice end-to-end" for a 4-6 block workflow. The pricing page states three buckets - simple $0.02/run, standard AI $0.10/run, complex AI $0.30/run - but the docs rate card actually has six-plus rates (0.02, 0.04, 0.10, 0.15, 0.18, 0.30 credits/run, plus 1.00 credit/page for managed human-in-the-loop), and prices base import and base export at 0.04/run rather than the $0.02 the pricing page implies. Enrichment, lookup and export blocks bill PER FIELD and PER TABLE ROW, so a table-heavy invoice costs multiples of the headline. Checked 2026-08-08.Total cost = number of runs × block price. A typical invoice processing workflow runs 4–6 blocks per document. At $0.30 per complex AI block, that's under $2 per invoice end-to-end.source, checked 2026-08-08 |
| Free tier | 100 pages a month with an account; 5 conversions a day with none | $50 in credits granted at signup, no credit card required. Nanonets files this under the FAQ heading "Is there a free trial?" and the page CTA reads "Start free trial", so it is vendor-framed as a trial - but no expiry date, time limit or renewal language is published anywhere we could find. Safest framing: a one-off starting allowance of unverified duration, not a recurring monthly quota. After it, $100/month buys 100 credits. Separately, Nanonets' open-source DocStrange gives a genuinely recurring free cloud allowance of 10,000 documents/month on an authenticated account or free API key, plus local processing. Checked 2026-08-08.Is there a free trial? Yes, every account starts with $50 in free credits, no card required, so you can process documents before you spend a dollar. When you're ready, $100/month gets you 100 credits.source, checked 2026-08-08 |
| Languages | 161 recognition languages, counted on the production host | "over 200+" languages for character/word recognition; the page actually enumerates 226 named languages (Acehnese through Zulu). Handwriting is supported but is documented as a SEPARATE capability with accuracy caveats - Nanonets does not state that the 200+/226 language count extends to handwriting, so the number should be read as print coverage. Their marketing site says "100+ languages" for the same capability. Checked 2026-08-08.Nanonets supports character/word recognition in over 200+ languages including but not limited to: ... Is handwritten text supported? Yes, we support handwritten documents — with some important notes: Handwriting must be legible to the human eye. If a human reader struggles to understand the handwriting, AI models may also have difficulty extracting text reliablysource, checked 2026-08-08 |
| Where it runs | Hosted API, documents processed in Frankfurt, Germany | Cloud SaaS. The docs describe a "multi cloud environment" relying primarily on AWS and GCP; the subprocessor register additionally lists Microsoft Azure as a hosting subprocessor. Private cloud / on-premise deployment and data residency in US, EU or APAC are offered, but only on the Enterprise (custom-priced) plan, and the docs price "Region-Specific AWS Hosting" as "Custom / Enterprise". Three vendor pages do not agree on where data actually sits: the security policy says flatly that all customer data is stored in the USA, the privacy policy says servers are in the US, EU and India, and the pricing page sells US/EU/APAC residency (see notes). DocStrange, their open-source parser, runs locally on your own GPU with no data leaving the machine. Checked 2026-08-08.All customer data is stored in the USA.source, checked 2026-08-08 |
| What happens to your documents | Uploads deleted within the hour on every plan; never used to train models | Their Terms of Service grant Nanonets broad rights over "Derived Data" generated from customer documents, expressly including improving and marketing their own products - there is no general, platform-wide opt-out or no-training commitment published for ordinary customer documents. A strict no-training commitment DOES exist but is scoped only to Google user data pulled via Google Workspace APIs (privacy policy s17). The privacy policy does add two narrow non-Google promises - it will not use "the contents of documents you process in the Services" for marketing communications, nor share them with business partners - but neither is a no-training commitment. Retention: Nanonets may keep Customer Data for up to 30 days after an Order terminates; no retention period for documents during an active account is published (the "as long as you have an account" language in privacy policy s8 governs personal information, not uploaded documents). Enterprise customers can buy Custom Data Retention. Checked 2026-08-08.Customer hereby agrees and understands that Nanonets may freely use Derived Data for its internal business purposes (including without limitation, for purposes of improving, testing, operating, promoting and marketing Nanonets's products and services). ... Nanonets reserves the right to retain Customer Data for up to thirty (30) days following the termination or expiration of the corresponding Order.source, checked 2026-08-08 |
What this page does not claim
We have never run a document through Nanonets, so there is no accuracy comparison here and no chart showing us winning. Our own figures are measured and reproducible — the method is on the benchmark, including the cases where our default engine gets things wrong. Nanonets's figures are theirs, quoted from their documentation with the date we read it.
Most comparison pages of this kind include an accuracy table. Ours cannot, honestly, so it does not.
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