Nanonets
← Back to All AI Tools1. Should you try Nanonets? Overview
| What it is | Nanonets is an AI document-processing platform (intelligent document processing) that extracts structured data from invoices, receipts, IDs and forms with self-learning models. |
| Country / HQ | San Francisco, California, USA and Bangalore, India (founded 2017) |
| Best for | Finance and ops teams automating invoice/receipt data entry and approvals into ERPs. |
| Check before buying | Pricing is usage-based per page/field and can climb; accuracy depends on document quality; enterprise features need higher tiers. |
| Editor rating | 4.4 / 5 |
| Pricing signal | Free trial + usage-based paid plans |
2. Features What it does
| Feature | What it does |
|---|---|
| OCR + extraction | Extract fields from invoices, receipts, POs, licenses and tables. |
| Self-learning models | Models improve with corrections; no-code training. |
| Approval workflows | Review queues, validation rules and audits. |
| ERP/accounting sync | QuickBooks, Xero, Sage, NetSuite, SAP exports. |
| Table extraction | Line-item capture from complex invoices. |
| API and webhooks | REST API for custom pipelines. |
| GenAI parsing | LLM-assisted extraction for unstructured documents. |
3. Pricing Pricing (2026-10, USD)
| Plan | Price / mo | Key limits & who it fits |
|---|---|---|
| Free trial | $0 | Trial credits to test extraction quality. |
| Starter/Growth | Usage-based (per page/field) | Pay-as-you-go tiers; historically from ~$0.30/1K tokens equivalents. |
| Enterprise | Custom | Volume pricing, SSO, dedicated support. |
Pricing moved between page-based and model-based units over time; heavy OCR workloads should get a custom quote. Verify at nanonets.com.
4. Integration Access & integrations
| Access type | Details |
|---|---|
| Accounting | QuickBooks, Xero, Zoho, NetSuite. |
| Storage | Google Drive, Dropbox, S3, email ingestion. |
| API | REST API, webhooks, Zapier. |
| RPA | UiPath/Power Automate connectors. |
5. Reviews & Sources External reviews
| Source | Rating | What it says |
|---|---|---|
| G2 | 4.6 / 5 | Strong marks for extraction accuracy and support. |
| Finance teams | Positive | Invoice AP automation is the flagship use case. |
| Critiques | Mixed | Pricing opacity and volume costs at scale. |
6. Best for / Not for Fit
| ✔ Suitable | ✘ Not suitable |
|---|---|
| • Accounts-payable invoice automation • Receipt and expense capture • ID/KYC document processing |
• General-purpose PDF conversion • Very low volumes (manual entry cheaper) • On-prem-only requirements |
7. Competitors How it compares
| Competitor | How it differs | Best for |
|---|---|---|
| Rossum | Rossum focuses on transactional AP with strong pre-training. | AP-centric teams. |
| Azure Document Intelligence | Microsoft-managed OCR with custom training. | Azure-standard orgs. |
| Amazon Textract | AWS-native extraction with per-page pricing. | AWS pipelines. |
8. Summary Verdict
| Takeaway | A capable IDP platform that shines on invoices and receipts – get a usage-based quote matched to your document mix. |
| Who should pick it | Finance/ops teams digitizing document-heavy processes. |
| Who should skip it | Low-volume users and on-prem mandates. |