Nanonets

Nanonets is an AI-powered intelligent document processing (IDP) platform that automates the extraction, classification, and routing of data from business documents. The platform uses proprietary Vision Language Models, advanced OCR, and machine learning to read invoices, receipts, purchase orders, contracts, and dozens of other document types, converting unstructured paper and PDFs into clean, structured data that flows directly into your accounting, ERP, or business systems.

Founded with the mission of eliminating the tedious manual data entry that still dominates back-office operations, Nanonets has grown into a platform trusted by 34% of Fortune 500 companies. The platform has processed over 300 million files and saved users an estimated 3 million hours of manual work. Those numbers reflect a real problem: despite decades of digital transformation, many finance and operations teams still spend significant portions of their day keying data from documents into spreadsheets and software systems.

What distinguishes Nanonets from basic OCR tools is its intelligence layer. Traditional OCR reads text from images; Nanonets understands document structure. It knows that a number in the top-right corner of an invoice is likely the invoice number, that the largest number at the bottom is probably the total, and that line items in a table represent individual charges. This contextual understanding, powered by models like Nanonets-OCR2-Plus and Nanonets-OCR2-3B, enables the 98% straight-through processing rate that makes the platform reliable enough for production use.

Beyond extraction, Nanonets provides a workflow builder that lets you design complete document processing pipelines with conditional logic, validation rules, approval routing, and automated actions. An invoice does not just get read; it gets validated against a purchase order, routed to the right approver, and posted to your accounting system automatically. This end-to-end automation is what transforms Nanonets from a data extraction tool into an accounting automation platform.

Nanonets serves organizations where document processing is a significant operational burden, particularly teams dealing with financial documents at scale.

Finance managers and controllers who oversee accounts payable, accounts receivable, and month-end close processes benefit most directly from Nanonets. The platform automates the most time-consuming parts of these workflows: capturing invoice data, matching it against purchase orders, and posting it to the general ledger. This can reduce month-end close time from days to hours.

Operations managers responsible for process efficiency and cost reduction will see immediate ROI from automating document-heavy workflows. Every invoice, receipt, or purchase order that Nanonets processes automatically is one less that a team member has to key in manually, which translates directly to labor cost savings and error reduction.

Analysts and data teams who need structured data from large volumes of documents for reporting, compliance, or business intelligence can use Nanonets to build automated data pipelines. Instead of waiting for manual data entry to populate reports, analysts get clean, structured data flowing into their systems in near real-time.

Accounting firms and bookkeepers managing financial data for multiple clients can use Nanonets to process client documents more efficiently. The platform's ability to handle different document formats and route data to different accounting systems makes it practical for multi-client environments.

Business process outsourcing (BPO) firms that process documents at massive scale as a core service offering can use Nanonets to increase throughput and reduce the labor required per document, improving margins while maintaining accuracy.

Not ideal for: Small businesses that process only a handful of documents per month and can handle manual entry without significant time cost. Also not ideal for organizations looking for a complete accounting suite rather than a document processing and automation layer.

AI-Powered Data Extraction

Nanonets' extraction engine is the foundation of the platform. Powered by proprietary Vision Language Models, it reads documents the way a human would, understanding context, layout, and relationships between data elements rather than just recognizing individual characters. This means it can accurately extract data from invoices with wildly different layouts, receipts with faded text, purchase orders with complex line-item tables, and contracts with nested clauses.

The models handle challenging document elements that trip up simpler OCR tools: checkboxes, watermarks, flowcharts, multi-layered tables, stamps, and handwritten annotations. Support for over 100 languages means the same extraction engine works on invoices from a vendor in Tokyo, a supplier in Berlin, and a contractor in Sao Paulo. The 98% straight-through processing rate means that for the vast majority of documents, no human review is needed after extraction.

Intelligent Document Classification and Splitting

Many real-world document processing scenarios involve mixed batches. A single email attachment might contain an invoice, a packing slip, and a delivery receipt in one PDF. Nanonets' classification engine automatically identifies each document type within a batch and splits them into separate files for appropriate processing.

This feature is critical for accounts payable departments that receive documents in unpredictable formats. Without automatic classification, someone has to manually sort through each batch before extraction can begin. Nanonets eliminates that step entirely, routing each document type to its correct workflow pipeline. The classification models can be trained on custom document types, so organizations with unique or industry-specific paperwork can teach Nanonets to recognize and categorize them correctly.

Accounts Payable Automation

The AP automation workflow is Nanonets' most popular use case and demonstrates the platform's end-to-end capabilities. The workflow begins when an invoice arrives via email, file upload, or cloud storage integration. Nanonets extracts key fields including vendor name, invoice number, date, line items, tax amounts, and total. It then performs three-way matching against purchase orders and goods receipts in your system.

Matched invoices are routed automatically for approval based on rules you define, such as routing invoices above a certain amount to a senior approver. Approved invoices are posted directly to your accounting or ERP system. The entire process from invoice receipt to posting can happen without human intervention for routine invoices, while exceptions are flagged for manual review with clear explanations of what did not match.

Custom Workflow Builder

The workflow builder is where Nanonets transforms from an extraction tool into a full automation platform. You design document processing workflows using a visual interface, adding steps for extraction, validation, conditional logic, approvals, data enrichment, and output to external systems.

For example, you might build a workflow that extracts invoice data, checks whether the vendor exists in your system, validates the total against a purchase order, applies a currency conversion if the invoice is in a foreign currency, routes it to the appropriate department head for approval, and posts it to your ERP. Each step can include conditional branches so different documents follow different paths based on their content. This flexibility means Nanonets adapts to your processes rather than forcing you into a rigid template.

API and Custom Model Training

Nanonets offers a comprehensive REST API that enables developers to integrate document processing into any application or workflow. The API supports document upload, extraction, model training, and result retrieval, making it possible to embed Nanonets' capabilities into custom software, internal tools, or client-facing applications.

Custom model training is available on Pro and Enterprise plans. You upload a set of sample documents, annotate the fields you want extracted, and Nanonets trains a model specifically for your document type. This is essential for organizations that deal with proprietary forms, industry-specific paperwork, or non-standard layouts that pre-trained models have never encountered. Training typically requires 50 to 100 sample documents and produces a model that can handle variations of that document type going forward.

Invoice Processing and Accounts Payable

The most common Nanonets use case is automating invoice processing. Finance teams receive hundreds or thousands of invoices monthly from vendors in different formats, layouts, and languages. Nanonets extracts data from all of them, matches them against purchase orders, and routes them for approval. Companies report reducing invoice processing time by 80% or more and virtually eliminating data entry errors.

Expense Report Automation

Employee expense management is another high-volume document workflow. Nanonets captures receipt data from photos, PDFs, and email attachments, categorizes expenses automatically, and populates expense reports. Integration with corporate credit card systems enables real-time matching of receipts to transactions, and automated approval workflows replace the manual back-and-forth that delays reimbursements.

Financial Close Acceleration

Month-end and year-end close processes are bottlenecked by the need to reconcile data from various document sources. Nanonets accelerates close by ensuring that all invoice data, receipt data, and transaction records are extracted and posted to the accounting system continuously throughout the month rather than in a last-minute rush. Finance teams using Nanonets report shaving days off their close timeline.

Contract Data Extraction

Legal and procurement teams that manage large volumes of contracts can use Nanonets to extract key terms, dates, amounts, and obligations from contract documents. This data feeds into contract management systems, enabling automated tracking of renewal dates, payment terms, and compliance requirements without manually reading every page.

Insurance Claims Processing

Insurance companies and claims processing firms use Nanonets to extract data from claim forms, medical records, accident reports, and supporting documentation. The platform's ability to handle mixed document types and handwritten text makes it particularly valuable in insurance workflows where documents arrive in inconsistent formats from multiple sources.

Nanonets uses a usage-based pricing model with no platform fees, which means you pay only for what you process. This approach aligns costs with value and makes the platform accessible to organizations of all sizes.

The Free tier lets you process a limited number of documents to test extraction accuracy and explore the platform's capabilities. This is sufficient to validate that Nanonets handles your specific document types correctly before committing to production use.

The Starter tier charges approximately $0.30 per page for extraction, plus additional fees for formatting blocks, lookups, and premium integrations. This pay-as-you-go model works well for small businesses processing a few hundred documents per month. There are no minimum commitments, so costs scale linearly with usage.

The Pro tier offers custom pricing with volume discounts for organizations processing larger document volumes. It unlocks custom model training, advanced workflow features, premium integrations, and priority support. The volume discounts make per-page costs significantly lower than the Starter tier for businesses processing thousands of documents monthly.

The Enterprise tier provides custom pricing with annual contracts, dedicated infrastructure, a dedicated account manager, customized onboarding, and SLA guarantees. This tier is designed for organizations where document processing is mission-critical and downtime or accuracy issues would have significant business impact.

Value assessment: Nanonets' usage-based pricing is well-suited for organizations with variable document volumes. You do not pay for capacity you do not use, and costs scale predictably as volume grows. At $0.30 per page on the Starter tier, automating a 100-invoice monthly AP workflow costs about $30, which is trivial compared to the labor cost of manual data entry. The ROI becomes even more compelling at higher volumes where Pro pricing reduces per-page costs further.

Nanonets' integration ecosystem is centered on the accounting, ERP, and productivity tools that finance and operations teams rely on daily. The platform offers certified built-in connectors for major accounting and ERP platforms including QuickBooks, Xero, SAP, NetSuite, Sage, and Microsoft Dynamics 365. These are not superficial integrations; they support field mapping, account code assignment, and direct posting to the general ledger.

Cloud storage integrations with Google Drive, Dropbox, and Microsoft 365 enable automated document ingestion. You can point Nanonets at a folder in your cloud storage, and it will automatically process new documents as they arrive. This is particularly useful for organizations that already have established document collection workflows.

CRM integrations with Salesforce and HubSpot allow Nanonets to extract client data from contracts, applications, and forms and populate CRM records automatically. This bridges the gap between document-based onboarding processes and digital customer records.

The Zapier integration connects Nanonets to thousands of additional applications, enabling you to build cross-platform automations that trigger when documents are processed. For example, you could automatically update a Google Sheet, send a Slack notification, or create a task in your project management tool whenever an invoice exceeds a certain amount.

Airtable integration provides a lightweight database option for teams that want to track and analyze extracted document data without a full ERP system. And the REST API opens unlimited integration possibilities for development teams that want to embed Nanonets' extraction capabilities into custom applications.

Industry-leading extraction accuracy - The 98% straight-through processing rate means most documents are processed without human intervention, delivering genuine labor savings.

Deep accounting integrations - Certified connectors for QuickBooks, Xero, SAP, NetSuite, and other major platforms ensure extracted data flows seamlessly into your financial systems.

Multi-language support - Processing documents in over 100 languages makes Nanonets practical for global organizations with international vendor networks.

Flexible workflow builder - The ability to design custom document processing workflows with conditional logic, validation, and approval routing adapts to complex business processes.

Usage-based pricing - No platform fees and pay-per-page pricing means costs scale proportionally with usage, making the platform accessible to organizations of all sizes.

Custom model training - The ability to train extraction models on proprietary document types extends Nanonets beyond standard invoices and receipts to any document your organization processes.

Complex pricing structure - The block-based pricing with separate fees for extraction, formatting, lookups, and premium integrations can make it difficult to predict costs precisely.

Learning curve for workflow builder - While extraction is straightforward, building complex multi-step workflows with conditional logic requires time to learn and configure properly.

No full accounting features - Nanonets is a document processing layer, not an accounting suite. You still need QuickBooks, Xero, or another system for actual accounting functions.

Custom model training requirements - Training effective custom models requires 50 to 100 sample documents, which may be a barrier for organizations with limited historical document sets.

Web-only platform - There is no native mobile app for on-the-go document capture or workflow management, though documents can be uploaded via email.

Enterprise pricing opacity - Pro and Enterprise pricing requires contacting sales, which makes it difficult to budget without going through a sales process first.

Nanonets vs QuickBooks

QuickBooks is a comprehensive accounting platform that includes invoicing, expense tracking, bank reconciliation, and financial reporting. It has basic receipt scanning and invoice capture capabilities, but these are secondary features within a full accounting suite. Nanonets is a specialized document processing engine that handles a wider variety of document types with greater extraction accuracy and more sophisticated workflow automation. The two tools are highly complementary: Nanonets extracts and validates data from documents, and QuickBooks manages the accounting. If your document volume is low enough that manual entry is not a burden, QuickBooks alone is sufficient. If you process dozens or hundreds of invoices monthly, adding Nanonets as the front-end extraction layer saves significant time and reduces errors.

Nanonets vs Xero AI

Xero AI includes built-in OCR for invoice and receipt processing within the Xero accounting platform. For businesses that are already Xero customers and primarily need to process standard invoices and receipts, Xero AI's native capabilities may be sufficient. Nanonets offers substantially more powerful extraction capabilities, handles a much wider variety of document types, supports custom model training, and provides a full workflow builder with conditional logic. Choose Xero AI if your document processing needs are straightforward and you want everything in one platform. Choose Nanonets if you need enterprise-grade extraction across diverse document types, multi-system routing, or automation workflows that go beyond basic invoice capture.

Nanonets vs Make

Make (formerly Integromat) is a general-purpose workflow automation platform that connects apps and automates business processes. It does not specialize in document processing but can be used to build document-related automations when combined with OCR services. Nanonets is purpose-built for document AI with specialized extraction models, classification capabilities, and validation logic that Make cannot replicate natively. The most powerful approach is often to use both: Nanonets handles document extraction and classification, and Make orchestrates the broader business workflow around those documents, connecting to CRM, project management, communication, and other systems. Choose Make alone if your automation needs are broad and document processing is a minor component. Choose Nanonets if document processing is a core workflow that requires high accuracy and specialized AI.

1. Sign up at nanonets.com — Create a free account to access the platform. The free tier lets you process a limited number of documents, which is enough to evaluate extraction accuracy on your specific document types.

2. Upload sample documents — Start by uploading a batch of invoices, receipts, or other documents you want to automate. Nanonets' pre-trained models will extract data and show you the results so you can assess accuracy immediately.

3. Review and correct extractions — Check the extracted fields against your source documents. For standard invoices and receipts, accuracy should be very high out of the box. Note any fields that need correction, as this feedback improves the model over time.

4. Connect your accounting system — Set up the integration with your accounting or ERP platform, whether that is QuickBooks, Xero, SAP, or another system. Map extracted fields to the corresponding fields in your accounting software.

5. Build your first workflow — Use the workflow builder to create an end-to-end document processing pipeline. Define extraction, validation rules, approval routing, and output actions. Start with a simple workflow and add complexity as you gain confidence.

6. Set up automated document ingestion — Connect your email, cloud storage (Google Drive, Dropbox), or other document sources so that new documents are processed automatically as they arrive without manual uploads.

7. Monitor, refine, and scale — Review processing results regularly during the first few weeks. Adjust validation rules, update field mappings, and consider training a custom model if your documents have unique layouts. As confidence grows, increase the volume of documents flowing through automated workflows.

Nanonets occupies an important and growing niche in the business automation landscape. While many organizations have digitized their workflows, the gap between receiving a document and getting its data into a system remains stubbornly manual for most finance and operations teams. Nanonets closes that gap with AI that genuinely works, achieving accuracy rates that make full automation practical rather than aspirational.

The platform's strength lies in the combination of extraction accuracy, workflow flexibility, and deep accounting integrations. It is not just reading documents; it is fitting into the complete process of receiving, validating, approving, and posting financial data. The custom model training capability ensures that even organizations with unique or industry-specific documents can automate their workflows rather than settling for generic templates.

The main limitations are the complexity of the pricing structure, which can make cost forecasting difficult, and the learning curve associated with building advanced workflows. The platform is also strictly a processing layer rather than a complete accounting solution, so it adds to your tech stack rather than replacing existing tools.

For organizations processing significant document volumes, particularly in accounts payable, expense management, or financial close processes, Nanonets delivers measurable ROI through labor savings and error reduction. The Fortune 500 adoption rate validates that the technology is production-ready for demanding environments.

Bottom line: Nanonets is a best-in-class intelligent document processing platform that automates the tedious, error-prone work of extracting data from business documents. It integrates deeply with accounting and ERP systems, supports over 100 languages, and scales from small businesses to global enterprises. A verdict score of 7 out of 10 reflects its strong technical capabilities and clear ROI for document-heavy organizations, tempered by pricing complexity and the fact that it supplements rather than replaces your existing accounting tools.