Question 1

What is Nanonets and how does it work?

Accepted Answer

Nanonets is an AI-powered platform that automates workflows for data reconciliation, document processing, and information extraction using machine learning models you train with your specific data formats and requirements.

The platform works by allowing you to upload sample documents—invoices, receipts, forms, contracts, or any structured data sources—and label the information you want extracted. Nanonets trains custom AI models on your examples, learning to identify and extract specific fields from your document types. Once trained, the models automatically process incoming documents, extracting data into structured formats like spreadsheets or directly into your business systems through API integrations. You don't need machine learning expertise or coding skills to build these automation workflows. The platform handles complex scenarios including handwritten text, low-quality scans, varying document formats, and multi-page documents. Nanonets continuously improves accuracy as it processes more documents, learning from corrections you make to extraction results. The system supports various automation triggers including email attachments, file uploads, API calls, and integration with cloud storage. Extracted data can route to databases, accounting software, CRM systems, or custom applications. This automation eliminates manual data entry, reduces errors from transcription mistakes, accelerates document processing from hours or days to seconds, and allows teams to focus on analysis rather than data gathering. Organizations use Nanonets for invoice processing, expense management, customer onboarding, compliance documentation, and any workflow involving repetitive data extraction from documents.

Question 2

What types of documents can Nanonets process?

Accepted Answer

Nanonets processes diverse document types including invoices, receipts, purchase orders, bank statements, tax forms, contracts, identity documents, forms, bills of lading, medical records, insurance claims, and custom business documents specific to your industry.

The platform handles various formats including PDFs, scanned images (JPEG, PNG), multi-page documents, handwritten forms, and photographs taken on mobile devices. Image quality doesn't need to be perfect—Nanonets works with low-resolution scans, skewed images, documents with stamps or signatures, and forms with checkboxes or handwritten annotations. For invoices, it extracts vendor details, line items, totals, dates, invoice numbers, and tax information regardless of layout variations across different suppliers. Receipt processing captures merchant names, transaction dates, amounts, payment methods, and itemized purchases for expense reporting. Identity documents like passports, driver's licenses, and government IDs have fields extracted for verification workflows. Financial documents including bank statements and pay stubs get parsed for reconciliation and lending applications. Healthcare documents like patient intake forms, insurance claims, and lab results can be digitized for electronic health records. The platform adapts to custom document types specific to your business—mortgage applications, loan documents, shipping manifests, or proprietary forms. You simply provide examples of your document types, label the fields you need extracted, and Nanonets learns the patterns. The system handles variations in templates, languages, and formats, making it flexible for real-world document processing where standardization is impossible.

Question 3

How accurate is Nanonets data extraction?

Accepted Answer

Nanonets typically achieves 95-99% accuracy for data extraction after training on your specific document types, with accuracy improving over time as the system processes more documents and learns from your corrections and validation feedback.

Accuracy depends on several factors including document quality, consistency of formatting, and the complexity of information being extracted. For standard documents like invoices from established vendors or government-issued IDs with consistent formats, accuracy reaches 99% or higher. More variable documents like handwritten forms or receipts from diverse merchants may start at 90-95% accuracy but improve with continued use. The platform includes confidence scores for each extracted field, flagging low-confidence extractions for human review. This validation workflow ensures critical data gets verified before entering downstream systems. You can set confidence thresholds—for example, automatically accepting extractions above 95% confidence while routing lower-confidence results for manual verification. The AI learns from these corrections, improving accuracy for similar documents in the future. Factors affecting accuracy include image quality (resolution, lighting, clarity), document variation (how much formats differ), field complexity (simple fields like dates versus complex multi-line addresses), and training data quantity (more examples improve performance). Nanonets handles challenging scenarios like multiple currencies, various date formats, abbreviations, and industry-specific terminology through its learning process. For business-critical applications, the platform's accuracy combined with human validation workflows provides reliable automation while maintaining quality control. Most organizations report significant time savings even with occasional manual verification, as the system handles 90-95% of extraction automatically.

Question 4

Does Nanonets integrate with other business software?

Accepted Answer

Yes, Nanonets offers extensive integration capabilities with popular business software, cloud storage, accounting systems, CRM platforms, databases, and custom applications through REST APIs and pre-built connectors, enabling seamless automation workflows without manual data transfer.

For accounting and financial systems, Nanonets connects with QuickBooks, Xero, NetSuite, Sage, and FreshBooks, automatically posting extracted invoice data, expense information, and financial documents directly into your accounting ledgers. Cloud storage integrations with Google Drive, Dropbox, Box, OneDrive, and AWS S3 enable automatic document processing—files uploaded to designated folders trigger extraction workflows with results saved back to storage or forwarded to other systems. CRM integrations with Salesforce, HubSpot, and Zoho CRM allow customer documents, contracts, and forms to populate contact records and deal information automatically. Database connections via SQL, MongoDB, and other backends enable extracted data to flow into custom applications and data warehouses. Email integration processes attachments from incoming emails, extracting information from invoices, orders, or forms sent to designated addresses. Workflow automation platforms like Zapier, Make (formerly Integrio), and Microsoft Power Automate extend integration possibilities to thousands of applications without coding. The REST API provides programmatic access for developers building custom integrations, webhooks notify your systems when documents are processed, and batch processing capabilities handle high volumes efficiently. For organizations with complex workflows, Nanonets supports multi-step automations where extracted data triggers subsequent actions across multiple systems. This integration ecosystem eliminates manual export-import cycles, reduces errors from transcription, and creates end-to-end automated workflows from document receipt through data utilization in business systems.

Question 5

What is the pricing for Nanonets?

Accepted Answer

Nanonets offers tiered pricing based on document processing volume and features, with plans typically starting around $499 per month for small businesses processing up to 500 documents monthly, scaling to enterprise plans for higher volumes and advanced features.

The platform generally structures pricing around several factors including monthly document volume (pages or documents processed), number of custom models you need to train, API call limits, and access to premium features like advanced accuracy improvements, priority support, and compliance certifications. Starter plans provide essential extraction capabilities suitable for single-use-case automation like invoice processing or expense management. Professional plans unlock multiple models for different document types, higher processing volumes, and integration support. Enterprise plans offer unlimited models, high-volume processing, dedicated account management, custom SLA agreements, on-premise deployment options, and advanced security features including SOC 2 compliance and single sign-on. Many organizations find the ROI compelling—if manual data entry costs $15 per hour and processing 500 invoices manually takes 100 hours monthly, that's $1,500 in labor costs versus $499 for automation, not counting accuracy improvements and faster processing. Nanonets typically offers free trials allowing you to test the platform with your specific documents before committing, and proof-of-concept arrangements for enterprise buyers evaluating large-scale deployments. Volume discounts are available for organizations processing thousands of documents monthly. For accurate pricing matching your specific needs, contact Nanonets directly with your expected document volumes, integration requirements, and compliance needs to receive a customized quote. Many competitors charge per page processed, so comparing total cost of ownership across similar volumes helps evaluate value.

Question 6

Is Nanonets suitable for small businesses?

Accepted Answer

Yes, Nanonets serves small businesses effectively by offering accessible AI automation without requiring machine learning expertise, dedicated IT staff, or complex implementation, making enterprise-grade document processing affordable and practical for organizations with limited resources and technical capabilities.

Small businesses benefit particularly from Nanonets because it eliminates repetitive manual data entry that consumes disproportionate time in resource-constrained environments. A small accounting firm processing client invoices can automate data extraction into their accounting software, reducing hours of weekly data entry to minutes of validation. E-commerce businesses can automate supplier invoice processing, purchase order matching, and inventory updates without hiring additional administrative staff. Service businesses can extract information from client intake forms, contracts, and billing documents automatically. The platform's no-code approach means office managers or operations staff can set up automations without engaging expensive developers or consultants. Training models is straightforward—upload examples, label fields, and the AI learns your specific needs. The accuracy combined with validation workflows provides quality control even when teams lack technical expertise. Small business pricing tiers make the technology affordable compared to hiring full-time data entry staff or tolerating error rates from manual processing. Integration with popular small business software like QuickBooks, Xero, and Gmail means Nanonets fits into existing workflows rather than requiring wholesale system changes. For growing businesses, the scalability prevents the common problem of outgrowing manual processes but lacking resources for enterprise solutions. The time savings allow small teams to focus on revenue-generating activities rather than administrative overhead, providing competitive advantages previously available only to larger competitors with dedicated operations teams and sophisticated automation.

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