Nanonets

Nanonets is an AI-powered intelligent document processing and workflow automation platform for teams that need to extract data from documents, route approvals, and connect results to business systems, with current public pricing built around a free Starter plan that includes $200 in credits and usage-based block-run costs. It is positioned for document-heavy operations such as accounts payable, order management, logistics, healthcare, payments, and contract workflows.

The platform is best understood as more than a standalone OCR tool. Nanonets combines document capture, AI extraction, validation, review, workflow routing, approvals, and integrations so operational teams can move from scanned or emailed documents to usable structured data. That makes it relevant for companies where documents are not just records, but triggers for downstream work: paying an invoice, confirming an order, checking a shipment, onboarding a customer, reviewing a claim, or sending approved data into an ERP or database.

For finance and accounts payable teams, Nanonets can support invoice intake, vendor and line-item extraction, purchase order matching, validation, approval routing, and ERP posting. For logistics and supply chain teams, it can help process freight invoices, bills of lading, packing lists, customs documents, order confirmations, and supplier paperwork. In regulated or operationally sensitive environments such as healthcare, insurance, banking, and compliance, the platform can be used to extract information from forms and supporting documents while keeping humans involved for review where confidence, policy, or exception handling requires it.

Nanonets also emphasizes workflow automation across common business surfaces rather than limiting automation to a single document queue. Its listed working surfaces include SAP, Salesforce, Gmail, Slack, Teams, databases, Google Drive, and Jira, which suggests the product is designed for teams that need documents to move through existing systems instead of creating another isolated review tool. The no-code workflow builder, human-in-the-loop review, pre-trained document models, custom model options, and integration ecosystem are especially important for buyers trying to reduce manual data entry without building a full document AI stack internally.

Pricing is a key part of evaluating fit. The free Starter plan includes credits and access to core extraction, API, email, and storage connector capabilities, but usage is charged by workflow block runs. Simple operations, standard AI blocks, and complex AI blocks have different public prices, so real monthly cost depends on how many documents are processed and how many workflow steps each document triggers. Growth and Enterprise plans add scale-oriented features, advanced AI blocks, custom integrations, team-wide credit sharing, security controls, deployment options, audit support, and dedicated support, but they require quote-based or custom pricing.

Nanonets is strongest for organizations with recurring, document-heavy workflows where automation can remove repeated manual review, reduce turnaround time, and connect extracted information to operational systems. It may be less appropriate for very small teams that only need occasional OCR or simple one-off text extraction, because its broader value comes from workflow design, integrations, validation, and process automation. Buyers should test Nanonets against their own document samples, especially for irregular layouts, low-quality scans, handwritten content, complex tables, or proprietary formats, and should confirm security, data residency, retention, deployment, and compliance requirements directly before production use.