What Nanonets does
Nanonets combines OCR and document AI with classification, extraction, validation, approval, formatting, integration, analytics, and API workflow blocks.
Nanonets approaches intelligent document processing as an executable workflow rather than an isolated OCR endpoint. This makes it possible to combine extraction with classification, validation, approval, and delivery in one environment. Finance teams can ingest invoices, match fields, flag exceptions, and export approved entries; similar patterns apply to orders, insurance, logistics, and other document-heavy operations. API and webhooks support custom applications. The central design question is where probabilistic extraction ends and authoritative business control begins. A model-supplied vendor, amount, or account number must remain a proposal until external records and responsible reviewers validate it.
Starter begins with $50 in free credits without a card and then lists $100 per month for 100 credits. Current block prices are $0.02 per simple formatting, routing, or export run; $0.10 for standard AI classification or validation; and $0.30 for complex extraction or generative AI. Nanonets says a typical invoice may run four to six blocks, so per-document cost is the sum of every executed block, including relevant retries or branches. Growth uses volume pricing, and Enterprise is tailored for security, residency, deployment, integrations, support, and SLA needs. Verify block definitions, legacy pricing, credits, discounts, overages, users, and contract terms live.
Workflow automation can make a field error operationally real. Measure exact-match, numeric tolerance, precision, recall, and straight-through accuracy on representative documents, not demonstration samples. Add deterministic totals, duplicate, purchase-order, tax, vendor, and bank-account checks; verify bank changes through a trusted channel; show reviewers the original page. Documents can contain PII, health, financial, identity, and confidential data. Review the current DPA, subprocessors, residency, private-cloud or on-prem options, retention policy, deletion, access controls, audit and SIEM features before production. Scope API keys and connectors, validate webhooks, prevent document text from instructing downstream AI, monitor reviewer changes, and require accountable approval before money or rights move.
How Nanonets works
Nanonets receives documents through upload, API, email, or supported storage and business connectors. A workflow passes each item through blocks: classification routes the document; OCR and extraction blocks identify text, fields, tables, or signatures; validation compares values with rules or connected data; people can review exceptions or approve outcomes; formatting and export blocks write structured results to databases, ERP, accounting, or other systems. Pretrained models cover common use cases, while custom OCR models can be created, labeled, trained, and invoked through APIs. Each time a block runs it consumes the price assigned to its complexity, so retries, branches, multi-document packages, and reprocessing influence cost as well as the number of source documents.
Define the document workflow
Map intake, classes, fields, PII, lawful purpose, retention, validation, approvals, exports, roles, API keys, block runs, budgets, failure paths, and the source systems used for reconciliation.
Compose extraction and control blocks
Use classification, extraction, formatting, validation, routing, and integrations with versioned schemas; minimize stored documents, separate tenants, validate webhook payloads, and restrict connected credentials.
Review exceptions against originals
Combine confidence with totals, types, master data, duplicate and tamper checks, then route low-confidence, sensitive, novel, or high-impact cases to trained reviewers before export or payment.
Measure accuracy and every block run
Track field accuracy, straight-through rate, reviewer corrections, drift, latency, credits, block reruns, access, retention, and downstream mismatches; stage changes, reconcile outputs, and retain rollback.
How to set up Nanonets
Model every block and decision
Define intake, classes, fields, PII, purpose, retention, expected block runs, validations, reviewers, approvals, exports, failure paths, volume, budget, and downstream authority.
Select plan and deployment controls
Compare Starter block economics with Growth or Enterprise volume, users, integrations, SSO, RBAC, residency, private deployment, audit, SIEM, SLA, support, and deletion terms.
Configure models and secure intake
Use representative authorized samples, version labels, scope API keys and connectors, validate email and webhook sources, separate tenants, encrypt data, and minimize storage.
Validate and review against originals
Enforce schema, totals, dates, duplicates, master-data and cross-document checks; route low-confidence, novel, sensitive, or high-value cases to trained reviewers.
Export with reconciliation
Stage target-system writes, require payment approval, monitor accuracy, drift, reviewer edits, latency, credits, reruns, access, and retention, reconcile records, and preserve rollback.
Nanonets FAQs
How is Nanonets priced?
Pricing counts block runs: current examples list $0.02 simple, $0.10 standard AI, and $0.30 complex AI. Total cost depends on every workflow step and rerun.
Is there a free trial?
Nanonets lists $50 in starting credits without a card. Starter then lists $100 per month for 100 credits under current pricing.
Do Nanonets credits expire?
The current pricing FAQ says prepaid credits are shared across the team and never expire; verify order, legacy-plan, refund, and renewal terms.
Can Nanonets approve invoices automatically?
It can route and automate workflows, but payments require independent vendor, bank, PO, duplicate, amount, tax, and authorization controls with human approval for exceptions and risk.
Does Enterprise support private deployment?
The current Enterprise page lists private cloud or on-prem deployment and regional residency options; exact architecture, responsibility, availability, and contract terms require a quote.
Listing reviewed 2026-07-15. Product details and pricing can change; verify important terms on the provider's website.
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