Nanonets
Nanonets offers AI-powered automation solutions for various functions, industries, and use cases. By leveraging document and email workflows, their platform enhances efficiency in finance, accounting,
What is Nanonets?
Nanonets is an AI automation platform that processes documents and emails to reduce manual data entry and administrative work. It uses optical character recognition (OCR) and machine learning to extract information from invoices, receipts, forms, and other documents, then routes that data into your existing systems. The platform serves finance teams, accountants, supply chain managers, HR departments, and customer support groups across banking, insurance, healthcare, logistics, and real estate sectors. It works by automating repetitive document workflows rather than replacing people, freeing your team to focus on higher-value tasks. Nanonets includes built-in OCR, PDF conversion tools, and web scraping capabilities.
Key Features
Document OCR
extracts text and data from scanned documents, PDFs, and images with high accuracy
Email automation
processes incoming emails and attachments to trigger workflows or extract information
Data extraction
uses AI to identify and pull specific fields from documents without manual rule-setting
Workflow automation
routes extracted data to spreadsheets, databases, or business applications automatically
Web scraping
collects data from websites for analysis or integration into your systems
API access
allows developers to integrate Nanonets into custom applications and workflows
Pros & Cons
Advantages
- Free plan available with core OCR and basic automation features, making it accessible to test without cost
- Works with multiple document types and industries, so one tool can handle different processes across your organisation
- No-code setup for common tasks means non-technical users can build automations without developer involvement
- Integrates with popular tools like spreadsheets, email platforms, and CRMs
Limitations
- Free tier likely limited in volume and features; higher accuracy and volume tiers require paid subscription
- Requires clear, legible source documents for best results; handwritten or heavily damaged documents may produce lower accuracy
- Complex or unusual document formats may need custom training or manual configuration
Use Cases
Invoice processing: automatically extract invoice details and route data to accounting systems
Expense management: scan receipts and categorise expenses without manual entry
Loan application processing: extract applicant information from forms and supporting documents
Purchase order management: automate data capture from supplier documents in supply chain workflows
Customer onboarding: process form submissions and identity documents in customer support or HR workflows