Nanonets is an AI-powered document processing and workflow automation platform for organizations that need to turn unstructured documents into structured data and downstream business actions. In 2026, the company increasingly positions its platform around AI agents that handle document-heavy processes such as accounts payable, order management, reconciliation, and other finance and operations workflows.
For accounts payable teams, Nanonets can automate activities including invoice intake, data extraction, GL coding, matching, approval routing, duplicate detection, exception review, and posting data to connected business systems.
Businesses with multiple locations or entities may have additional requirements around location-specific routing, invoice splitting, entity coding, and distributed approval structures. For organizations where those requirements drive AP complexity, Factura.ai is designed specifically around multi-location accounts payable workflows.
Key Takeaways
- Nanonets provides API-first document processing with no-code model training and deployment times measured in days rather than weeks.
- The platform reports usage by 35% of the Fortune 500 and more than 10,000 enterprises, according to company materials.
- Nanonets uses a credit-based pricing model with a Starter offering that begins with $50 in free credits, while Growth and Enterprise pricing depends on volume and business requirements.
- Multi-location businesses should evaluate how Nanonets handles invoice allocation across entities, location-specific approval routing, and multi-entity workflows.
- Extraction accuracy varies with image quality, document complexity, field type, training data, and validation requirements. Testing with representative documents is recommended.
- For franchise, hospitality, and multi-unit operators, Factura.ai offers native location splitting and per-location pricing models designed around multi-entity AP complexity.
Understanding OCR Software: What is Nanonets and How it Works
Nanonets is a cloud-based platform for extracting, validating, routing, and processing information contained in business documents.
The platform supports use cases beyond OCR alone. In accounts payable, for example, a workflow can receive an invoice, extract its data, validate information against business rules or related records, apply coding, route an exception for review, and send approved information to an ERP or accounting platform.
Nanonets also supports document-processing applications outside AP, including order management and other workflows where information needs to move from documents into business systems.
Key Nanonets Capabilities
Nanonets provides capabilities such as:
- Document extraction: Converts information from invoices, purchase orders, receipts, contracts, and other documents into structured fields
- Prebuilt document models: Supports common document types without requiring a model to be built from scratch
- Custom extraction: Allows organizations to define fields for specialized document types
- Line-item extraction: Captures individual rows and fields within tables
- Document classification: Identifies and routes different document types
- Validation workflows: Checks extracted information against rules and supporting data
- Human review: Routes exceptions or low-confidence results to users when review is required
- API and webhook connectivity: Allows extracted information and workflow events to connect with downstream systems
Nanonets for Windows Users
Nanonets is primarily delivered as a cloud-based platform rather than traditional desktop software.
Users generally access the platform through a web environment, while developers and operations teams can connect Nanonets to other applications through APIs, webhooks, and supported integrations.
As a result, organizations using Windows, macOS, or mixed computing environments do not generally need separate operating-system-specific document-processing software.
Nanonets Document and Workflow Automation
Nanonets extends beyond document extraction into workflow automation with configurable business process capabilities. The platform can connect extracted data to downstream systems through its API and integration options.
Automating Document Workflows with Nanonets
Nanonets provides automation features that extend beyond data capture:
- Direct integrations: Connects with Salesforce, Google Drive, Dropbox, SharePoint, and other business applications
- Zapier connectivity: Enables connections to hundreds of additional applications through middleware
- API access: Developers can build custom workflows using the platform's APIs
- Document classification: Automatically sorts and routes different document types
Organizations requiring human validation should evaluate Nanonets' review, approval, and exception-handling workflows against their internal requirements.
Streamlining Financial Operations: Nanonets for Accounts Payable
Invoice processing represents one of the primary use cases for Nanonets. Current Nanonets AP capabilities include invoice intake, GL coding, 2-way and 3-way matching, approval routing, duplicate detection, and human review for exceptions.
Invoice Processing with Nanonets
For AP invoice processing, Nanonets offers:
- Header and line-item extraction: Captures both summary and detailed invoice data
- Self-learning models: Improves accuracy on recurring vendor formats over time
- QuickBooks, Xero, and NetSuite connections: Sends extracted data to accounting systems
- Batch processing: Handles multiple invoices simultaneously
- Approval routing: Configurable workflows for invoice approval
- Duplicate detection: Identifies potential duplicate invoices
- Matching capabilities: Supports 2-way and 3-way matching with purchase orders and receipts
For multi-location operators processing high invoice volumes, Factura.ai's invoice capture codes invoices in under 30 seconds with 90%+ of invoices coded without human touch, according to company materials. The platform also includes native payment capabilities through Factura.ai Pay.
Data Extraction Tools: How Nanonets Compares to Alternatives
The IDP market includes several platforms with different strengths. Understanding how Nanonets compares helps buyers select the right tool for their requirements.
Extraction Accuracy and Validation
Document-extraction accuracy varies with image quality, document complexity, field type, training data, and validation requirements. Buyers should test representative invoices and documents rather than relying solely on headline accuracy percentages.
Third-party testing has reported Nanonets accuracy in the 95% to 98% range after training on vendor formats, with processing speeds of 1 to 2 seconds per invoice. These figures reflect specific test conditions and document types.
Template-Based vs. AI-Driven Extraction
Nanonets uses AI-driven extraction that does not require templates, which reduces setup time compared to traditional template-based OCR solutions. Custom model training still requires providing sample documents for the system to learn from.
Nanonets for Workflow Automation: Enhancing Business Processes
Workflow automation capabilities determine how well a platform fits into existing business processes.
Nanonets Workflow Capabilities
The platform provides automation features including:
- Data export triggers: Automatically send extracted data to connected systems
- Email notifications: Alert users when documents are processed
- Integration webhooks: Trigger downstream actions in other applications
- Approval workflows: Configure multi-level approval routing
- Cost center allocation: Assign costs to departments, locations, or entities
AP Workflow Considerations
Organizations should evaluate how Nanonets supports approval structures, entity and location coding, invoice allocation, payment workflows, and exception handling within their specific AP environment.
For businesses requiring automated approval workflows with configurable routing by location, vendor, department, or spend threshold, evaluating workflow depth and flexibility is recommended.
Integrating Nanonets: ERP and Accounting Software Connections
Integration capabilities affect how well extracted data flows into existing financial systems.
Nanonets Integration Options
Nanonets connects with several accounting and business applications:
- Accounting software: QuickBooks, Xero, NetSuite, Sage
- Cloud storage: Google Drive, Dropbox, SharePoint
- CRM systems: Salesforce, HubSpot
- Automation platforms: Zapier for additional connections
Comparing Integration Depth
Organizations should confirm whether each Nanonets integration supports one-way export, two-way synchronization, invoice images, coding details, approval data, and other fields required by their accounting workflow.
Factura.ai offers native ERP integration with systems including Sage Intacct, Workday Financial Management, NetSuite, Restaurant365, Microsoft Dynamics, QuickBooks, and Acumatica, with API-based real-time sync that pushes transactional data and invoice images into destination systems.
Nanonets Business Fit and Multi-Location Considerations
Multi-location businesses face AP challenges that require careful platform evaluation.
Where Nanonets Fits
Nanonets works well for:
- Engineering teams building custom document processing pipelines
- Organizations needing broad document type support beyond invoices
- Businesses prioritizing fast, self-service deployment
- Teams with API development capabilities
Multi-Location Considerations
For franchise operators, hospitality groups, and multi-entity businesses, key evaluation areas include:
- Location routing: Confirm how invoice and approval routing can be configured by entity, region, location, or business unit
- Invoice allocation: Evaluate how costs can be assigned across entities, departments, locations, or cost centers
- Approval structure: Review how approval rules align with distributed teams
- ERP integration: Confirm how coding, invoice images, approval data, and other fields synchronize with financial systems
For operators managing multi-location invoice routing, these capabilities directly impact workflow efficiency and accounting accuracy.
Nanonets User Experience and Support
User reviews and analyst feedback provide insight into real-world platform performance.
Deployment and Model Training
Users and analysts report:
- Fast deployment: Working extraction workflows can go live within days
- No-code training: Pre-trained models reduce technical requirements
- API flexibility: Developers appreciate the integration options
- Accuracy improvement: Models improve with use on recurring document types
Validation and Processing
Platform performance considerations include:
- Processing speed variability: Some users note that processing speed can vary between batches
- Platform reliability: As with cloud platforms generally, uptime and response time should be verified during evaluation
- Training requirements: Custom models benefit from representative sample documents
Customer Support
Nanonets offers support through its platform, with enterprise plans including dedicated account managers. Businesses should verify support terms, response times, and escalation procedures before committing.
Nanonets Alternatives in 2026: A Look at the Market Landscape
According to Mordor Intelligence, the AP automation market is valued at $6.94 billion in 2026 and is projected to reach $12.46 billion by 2031 at a 12.44% CAGR.
Nanonets Pricing Overview
Nanonets currently uses a credit-based pricing model. Its Starter offering begins with $50 in free credits, while Growth and Enterprise pricing depends on volume and business requirements.
Nanonets and Other Document Automation Approaches
Different platforms serve different needs. Neutral comparison criteria include:
- Document extraction: Evaluate header and line-item capture requirements
- AP workflows: Compare matching, coding, approvals, duplicate detection, and payment capabilities
- Human validation: Review exception and approval workflows
- Integration model: Compare APIs, accounting integrations, and synchronization requirements
- Multi-location operations: Evaluate location routing, invoice allocation, entity coding, and distributed approvals
- Pricing model: Compare credit-, volume-, location-, or contract-based structures
Nanonets
Nanonets combines intelligent document processing with AP workflow capabilities including invoice capture, coding, matching, approval routing, duplicate detection, human review, and payment-run support.
ABBYY Vantage
ABBYY Vantage offers on-premise deployment options and more than 200 pre-trained document types for enterprises with compliance or data-residency requirements.
Rossum
Rossum provides a cognitive AI engine designed to handle variable document formats without extensive template configuration.
Docsumo
Docsumo focuses on document processing with validation rules and workflow automation for financial documents.
Factura.ai
Nanonets combines intelligent document processing with broader AP workflow capabilities. Factura.ai is purpose-built around multi-location and multi-entity AP workflows, with an emphasis on line-item coding, centralized intake, location-aware routing, and invoice splitting.
For restaurant franchisees, hotel chains, property management companies, and retail groups, Factura.ai offers:
- Single centralized email ingests invoices for all locations
- Automated routing to location-specific approvers without manual sorting
- Native invoice splitting across multiple locations
- Unified dashboard for managing entities across multiple holding companies
- Deep ERP integrations with Sage Intacct, Workday Financial Management, NetSuite, Restaurant365, and others
The platform codes invoices in under 30 seconds with 90%+ of invoices coded without human touch. Implementation goes live in days with white-glove support, and AP staff onboarding takes approximately 60 minutes.
Why Factura.ai Is Relevant for Multi-Location AP
Factura.ai is designed around the invoice-processing requirements of businesses operating multiple locations, entities, or brands. Its workflow emphasizes centralized intake, granular coding, location-aware routing, and invoice allocation across distributed operations.
- Centralized invoice intake: Invoices from multiple locations can enter one intake workflow
- Line-item coding: Granular invoice data can be coded consistently across locations and entities
- Location-aware routing: Invoices can be directed according to location, entity, department, vendor, GL account, or approval rules
- Native invoice splitting: Costs can be allocated across multiple locations, entities, or cost centers
- Configurable approvals: Approval workflows can reflect distributed operating structures
- ERP connectivity: Factura.ai integrates with major accounting and ERP systems used by multi-location organizations
- White-glove onboarding: Workflows can be configured around the organization's existing AP and accounting requirements
For organizations whose AP complexity is driven by multiple locations or entities, Factura.ai brings invoice intake, coding, routing, splitting, approvals, and accounting-system connectivity into one coordinated workflow.
Frequently Asked Questions
What types of documents can Nanonets process beyond invoices?
Nanonets supports diverse document types across industries including receipts, purchase orders, contracts, claims forms, bank statements, and tax documents. The platform serves finance, logistics, healthcare, and insurance sectors. Users can train custom models for specialized document formats by providing sample documents for the system to learn from.
How does Nanonets handle documents with poor image quality or handwritten content?
AI-powered OCR platforms generally achieve higher accuracy on clean digital documents than on handwritten or damaged documents. Users should test the platform with representative samples of their actual document quality before committing. For restaurant and hospitality operators who receive handwritten invoices or poor-quality scans, accuracy rates may differ from figures cited for standard documents.
Can Nanonets support businesses operating in multiple countries with different languages?
Nanonets supports multi-currency documents and can process invoices from international vendors. Organizations should verify specific language support requirements during the evaluation process.
What happens to my data and trained models if I decide to switch providers?
Before committing to any IDP or AP automation platform, businesses should confirm data export capabilities, model portability, and transition timelines. Nanonets is a cloud-based platform, so users should understand what data access remains available after cancellation and whether trained models can be exported or must be rebuilt on a new platform.
How do setup and training requirements compare between Nanonets and purpose-built AP automation platforms?
Nanonets emphasizes fast deployment with pre-trained models and no-code training that can produce working extraction workflows within days. Custom model training may require providing sample documents. Purpose-built AP platforms like Factura.ai include white-glove implementation support that configures workflows to client specifications, with the company handling setup rather than requiring client IT resources.