Nanonets

Freemium

Nanonets is an AI agent platform for document processing. It lives in the AI Agents category.

You feed it invoices, receipts, purchase orders, and forms. It reads them, applies your rules, and posts the data where you need it.

It is built for teams drowning in paperwork, not for people with light document loads.

Open it if you process thousands of documents monthly and need them in your accounting system. Skip it if you handle a few dozen files and do not mind typing.

It fits when your team has this exact problem.

• Finance teams processing high volumes: You get invoices and receipts handled without manual entry. Your AP staff moves faster.
• Mid-market companies with moderate volumes: You do not need enterprise scale, but you need more than a spreadsheet. Nanonets fills that gap.
• Teams without dedicated ML engineers: You train models with no-code tools. You do not wait months for IT.
• Organizations needing quick deployment: You go live in days, not the months traditional OCR takes.
• Accounts payable teams: You get 2-way and 3-way matching built in. Your controls live in the same tool.
• Teams with handwritten and legacy documents: You handle damaged paper and old formats other tools reject.
• Finance, healthcare, and legal industries: You stay compliant with GDPR and HIPAA while you extract.
• Engineering teams building custom pipelines: You get API-first architecture and flexible integrations.

These are the parts you notice after a few runs.

• Fast onboarding: You start extracting in days. Legacy tools take months to set up.
• No-code model training: You teach it your document types by clicking, not coding.
• High OCR accuracy: You get clean data from complex and damaged documents where other tools fail.
• Context Graph for rules: You apply different logic per vendor, region, or value. Each decision traces back to its source.
• Self-learning loops: You correct an error once. It learns and improves on your specific formats.
• Native accounting integrations: You flow straight into QuickBooks, NetSuite, SAP, and others without middleware.

The path is short.

1. Upload sample documents to train a model for your formats.
2. Configure business rules in the Context Graph for approvals and routing.
3. Connect your accounting system or ERP to receive extracted data.
4. Process documents through API, email, or direct upload.
5. Review edge cases and let the system learn from your corrections.

Skip it when the fit is wrong.

• Expensive at scale: You pay by workflow runs and credits. Costs climb fast with volume.
• Slow support response: You wait longer than you want for help when stuck.
• Handwritten documents still struggle: You get errors on poor scans that need manual rework.
• Advanced configurations take time: You experiment more than you expect for complex workflows.
• No pricing tier for small teams: You jump from free credits to $499 monthly with nothing in between.