← Back to All Tools
Automation Paid

Nanonets

Nanonets is an intelligent document-processing platform for organisations that handle repetitive paperwork. Its capabilities extend beyond basic OCR: users can build workflows that extract information, validate records, route exceptions and send structured data into connected business systems.

Typical use cases include accounts payable, invoice processing, logistics documentation and other operational records. The platform is particularly relevant when a business needs to process many documents with different layouts rather than relying on a fixed template for every supplier.

Nanonets is not simply a PDF scanner. Its practical value depends on the entire workflow, including data quality, exception handling, supported integrations and the cost of every processing step.

Visit Nanonets Compare Nanonets

Our tools are evaluated against our Scoring Methodology.
Spot an error? Request a Correction.

Best For

  • Accounts payable teams processing recurring supplier invoices
  • Operations teams dealing with variable-format paperwork
  • Developers building document-processing workflows integrated with business applications

Not Ideal For

  • Users who only need to scan a few documents occasionally
  • Businesses expecting one flat price per document regardless of workflow complexity
  • Teams unable to maintain exception handling and quality checks

How It Works

A workflow receives a document through a supported input such as an API, email or cloud-storage integration. AI processing blocks can extract fields, followed by configured steps for classification, validation, formatting and export.

For example, an invoice workflow might extract the supplier, invoice number and line items, check the results against business rules, and send approved records to an accounting system.

Each processing step can incur usage charges. The total depends on the selected blocks and how many times each one runs. Large tables, repeated field operations and integrations may increase the overall cost.

Key Features

Document extraction

  • AI-assisted capture of data from invoices, receipts and business forms
  • Layout-agnostic extraction across variable supplier document designs
  • Table and nested line-item extraction without coordinate templating
  • Handwriting, checkbox and signature detection capabilities

Workflow logic

  • Classification, validation, formatting, lookups and routing based on business rules
  • Automated 2-way and 3-way matching of invoices against purchase orders
  • Human-in-the-loop exception handling for low-confidence field review
  • Custom General Ledger (GL) coding and multi-tier approval routing

Business integrations

  • Supported APIs, webhooks and cloud-storage connectors
  • Accounting and ERP connections for QuickBooks, Xero, NetSuite and Salesforce
  • Email ingestion aliases for automated document intake
  • Custom Python workflow blocks for post-processing and custom logic

Practical Workflows

  1. Invoice processing: Extract invoice fields, validate totals, flag exceptions and export approved data.
  2. Logistics records: Convert selected information from shipping documents into structured records for review.
  3. Operations automation: Combine document extraction, database lookup and routing into a repeatable business process.

Strengths & Limitations

Strengths

  • Combines extraction and workflow automation
  • Handles a variety of supported document layouts
  • Supports validation and integration beyond basic OCR
  • Provides a starting credit allowance for evaluation

Limitations

  • Workflow costs increase with the number and type of block runs
  • Complex integrations may require higher plans or commercial agreements
  • Extracted data must be checked for accuracy
  • Initial workflow configuration can be substantial for organisations with complicated approval processes

Pricing

Nanonets' public pricing page advertises $50 in starting credits, followed by a Starter offering of $100/month for 100 credits. The published block examples include approximately $0.02 in credits for simple operations, $0.10 in credits for standard AI operations, and $0.30 in credits for complex AI processing, per qualifying run.

Its developer documentation also describes pay-as-you-go and prepaid-credit billing arrangements. Therefore, the public Starter offer should not be interpreted as a universal minimum charge across every contract.

Actual costs depend on the complete workflow. For example, a single invoice may trigger several extraction, validation, formatting and export operations. Organisations should model these steps using expected monthly document volumes, representative file layouts and any additional integration or support fees.

The most useful evaluation is not simply the advertised subscription price: it is the estimated cost per successfully processed and verified document.

How It Compares

Choose Nanonets when you want to connect document extraction to repeatable business workflows, including validation and downstream systems.

Consider AWS Textract when your primary requirement is extraction within an AWS-centred application and you can build the surrounding workflow.

Consider ABBYY document-processing products when assessing alternative enterprise capture and document-automation approaches.

Before selecting a platform, test representative documents, measure exception rates and calculate the cost of the complete workflow rather than relying on a headline extraction price.

Visit Nanonets

Browse more Automation tools →