Nanonets
OCR software
Accounts payable automation software
Invoice management software
Intelligent document processing (IDP) software
Document scanning software
Accounting & finance software
Financial reconciliation software
Process automation software
AI finance agents
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Retail and wholesale
- Transportation and logistics
- Banking and insurance
What is Nanonets
Nanonets is an intelligent document processing (IDP) platform that extracts and structures data from documents such as invoices, receipts, purchase orders, and forms using OCR and machine-learning-based classification and field capture. It is used by operations, finance, and engineering teams to automate document ingestion, validation, and downstream workflows (for example, accounts payable and invoice processing). The product combines prebuilt document models with tools to train custom extractors and integrate outputs via API and connectors. It also provides human-in-the-loop review features to handle exceptions and improve accuracy over time.
Strong OCR and extraction
Nanonets supports common finance and operations documents such as invoices, receipts, and purchase orders, with configurable field extraction and document classification. It provides tools to train and refine custom models for non-standard layouts, which is useful when templates vary across vendors. The platform includes review and correction workflows that help manage low-confidence fields and exceptions. This positions it well for teams prioritizing data capture quality over basic scanning.
API-first integration options
Nanonets offers APIs that allow developers to embed document capture and extraction into existing applications and workflows. This approach supports integration with ERP/accounting systems, data warehouses, and automation tools without requiring a full content management deployment. For organizations with engineering resources, the API model can reduce reliance on manual export/import steps. It also enables building custom user experiences on top of the extraction layer.
Workflow and human review
The product includes validation, exception handling, and human-in-the-loop review to route uncertain fields for approval or correction. These controls are important for finance use cases where auditability and accuracy matter more than raw throughput. Teams can standardize how documents move from ingestion to verified structured data. This helps bridge the gap between OCR output and finance-ready records.
Requires setup and tuning
Custom document types and edge cases typically require model training, field mapping, and iterative tuning to reach stable performance. This can add time before the system is production-ready, especially for organizations with diverse document formats. Ongoing monitoring is often needed when vendors change invoice layouts or when new document sources are introduced. Teams without technical or process-automation support may find initial configuration demanding.
Not a full ECM suite
While Nanonets handles document ingestion and data extraction, it is not primarily positioned as an enterprise content management repository with deep records management and long-term retention controls. Organizations that need extensive document lifecycle management, complex permissions, and enterprise-wide content governance may require additional systems. This can increase solution complexity when document storage and compliance requirements are central. Buyers should validate how storage, retention, and audit needs are met end-to-end.
AP automation depth varies
Nanonets supports invoice capture and can feed AP workflows, but end-to-end accounts payable capabilities (for example, multi-entity approvals, three-way matching depth, supplier portals, and payment execution) may depend on integrations or additional tooling. Organizations looking for a single AP system of record should confirm which steps are native versus partner/integration-driven. Reconciliation and posting processes often require alignment with the target ERP/accounting configuration. This can affect total implementation effort and ownership.
Plan & Pricing
Pricing model: Pay-as-you-go (credit-based, charged per workflow "block" run) Free tier/trial: $200 in free credits on signup; documentation also references "first 100 invoices free" for invoice OCR testing. Example costs (selected core units / add-ons as listed on Nanonets official docs):
- Data Extraction AI – 0.30 credits/run. cite
- Classification AI – 0.10 credits/run. cite
- Checkbox/Barcode/Signature/QR detection AI – 0.10 credits/run. cite
- Import (Email, API, Google Drive, Dropbox, SharePoint, OneDrive) – 0.04 credits/run. cite
- Custom Integration / ERP / CRM import (Enterprise tier) – 0.15 credits/run. cite
- Data formatting (dates, numbers, regex, etc.) – 0.02 credits/run. cite
- Python block / LLM-based post-processing – 0.18 credits/run. cite
- Data lookups (Google Sheets, MySQL, CSV) – 0.04 credits/run; QuickBooks/Sage/Xero – 0.10 credits/run; Salesforce/SAP/Oracle/NetSuite (Premium) – 0.15 credits/run. cite
- Data export (DB/Drive etc.) – 0.04 credits/run; export to QB/Sage/Xero – 0.10 credits/run; enterprise exports (Salesforce/SAP/Netsuite) – 0.15 credits/run. cite
Add-ons / monthly charge items (selected):
- Model Versioning – 50 credits/month (Enterprise). cite
- AI Confidence Scores – 500 credits/month (All plans). cite
- UAT Model – 100 credits/month (Enterprise). cite
- Whitelabel UI – 200 credits/month (Enterprise). cite
- Human-in-the-loop (managed) – 1.00 credit/page (Enterprise). cite
- SAML SSO – 500 credits/month (Enterprise). cite
Discounts / purchasing options:
- Credits Accelerate (volume-based prepay/commit program) – buy Credits upfront to receive bonus credits (example: pay $100k → get $120k credits) and volume discounts (pricing page states up to ~40% savings depending on volume). cite
Enterprise / Custom pricing:
- Enterprise/custom options (custom SLAs, private hosting, region-specific hosting, custom SLAs) are available via Sales—priced custom. cite
Notes / billing model details:
- Billing is calculated by number of times each workflow block runs (block price × runs). There are no platform fees or fixed monthly fees by default; usage is charged against Credits or billed as consumed. cite
Seller details
Nanonets, Inc.
San Francisco, CA, USA
2017
Private
https://nanonets.com/
https://x.com/nanonets
https://www.linkedin.com/company/nanonets/
