Nanonets vs UiPath Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated May 2026 8 min read

Nanonets

0.0 (0 reviews)

Nanonets is an AI-powered document processing platform that uses machine learning to automatically extract structured data from unstructured documents like invoices, receipts, and ID cards to streamline your workflows.

Starting at Free
Free Trial 7 days
VS

UiPath

0.0 (0 reviews)

UiPath is a comprehensive automation platform that combines robotic process automation with artificial intelligence to help you discover, build, manage, and run automated workflows across your entire organization.

Starting at Free
Free Trial 60 days

Quick Comparison

Feature Nanonets UiPath
Website nanonets.com uipath.com
Pricing Model Freemium Freemium
Starting Price Free Free
FREE Trial ✓ 7 days free trial ✓ 60 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud mobile saas on-premise mobile desktop
Integrations Zapier Salesforce QuickBooks Google Drive Slack Microsoft Dynamics Sage Xero HubSpot NetSuite Microsoft Teams Salesforce SAP ServiceNow Google Drive Slack Oracle Workday AWS Azure
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries logistics finance healthcare
Customer Count 0 0
Founded Year 2017 2005
Headquarters San Francisco, USA New York, USA

Overview

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Nanonets

Nanonets helps you transform messy, unstructured documents into actionable digital data instantly. Instead of manual data entry, you can upload PDFs, images, or scanned documents and let the AI extract specific fields like dates, amounts, and line items with high accuracy. It learns from your corrections, meaning the system gets smarter and more precise the more you use it for your specific business needs.

You can integrate this automated data flow directly into your existing tech stack, whether you are managing accounts payable, processing KYC documents, or digitizing logistics paperwork. The platform is designed for operations and finance teams who need to eliminate bottlenecks in document-heavy processes. By automating these repetitive tasks, you can reduce processing times from hours to seconds while maintaining a searchable, organized digital archive of all your business documentation.

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UiPath

UiPath helps you automate repetitive digital tasks so you can focus on high-value work. By using software robots that emulate human actions, you can integrate disparate systems, process documents, and manage complex workflows without changing your existing infrastructure. The platform identifies automation opportunities by analyzing your actual work patterns and provides a drag-and-drop interface to build your own digital assistants.

You can deploy these automations across your entire company, whether you are a small team or a global enterprise. It solves the problem of manual data entry, fragmented software ecosystems, and slow operational processes. With built-in AI capabilities, your robots can even handle unstructured data like emails and images, making your automation smarter and more versatile as your needs grow.

Overview

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Nanonets Features

  • Automated Data Extraction Extract text, tables, and specific data points from any document type automatically using advanced OCR and machine learning.
  • Custom Model Training Train your own AI models by simply labeling a few documents to handle unique layouts and niche industry forms.
  • No-Code Workflow Builder Set up complex document validation rules and approval workflows using a simple visual interface without writing any code.
  • Line Item Capture Capture complex table data and nested line items from multi-page invoices and purchase orders with high precision.
  • Auto-Learning Engine Improve your accuracy over time as the AI learns from your manual validations and corrections in real-time.
  • Multi-Language Support Process documents in over 40 languages, allowing you to manage global operations and international paperwork effortlessly.
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UiPath Features

  • UiPath Studio. Design your own automations using a visual, drag-and-drop interface that requires no advanced coding knowledge.
  • Document Understanding. Teach your robots to read, extract, and interpret data from PDFs, images, and handwriting using integrated AI.
  • Automation Cloud. Manage your entire automation program from a single web-based console without worrying about server maintenance.
  • Task Mining. Identify the best processes to automate by recording and analyzing how your team performs daily tasks.
  • Software Robots. Deploy attended robots that work alongside you or unattended robots that run independently in the background.
  • AI Center. Drag and drop machine learning models directly into your workflows to handle complex decision-making tasks.

Pricing Comparison

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Nanonets Pricing

Free
$0
  • First 500 pages free
  • Limited fields extraction
  • Standard OCR features
  • Email support
  • Wallet-based credits
U

UiPath Pricing

Free
$0
  • Unlimited personal use
  • UiPath Studio (Web & Desktop)
  • Attended and Unattended robots
  • Basic Document Understanding
  • Automation Cloud access
  • Community support forum

Pros & Cons

M

Nanonets

Pros

  • High extraction accuracy even with blurry or rotated images
  • Extremely fast setup for standard documents like invoices
  • Intuitive interface makes training custom models very simple
  • Responsive customer support team helps with technical setup

Cons

  • Pricing can scale quickly for very high-volume users
  • Initial setup for complex tables requires careful labeling
  • Occasional slowdowns when processing very large batch files
A

UiPath

Pros

  • Extensive library of pre-built activities speeds up development
  • Strong community support and free learning through Academy
  • Excellent computer vision for automating legacy applications
  • Highly scalable from single tasks to enterprise-wide programs

Cons

  • Steep learning curve for advanced workflow logic
  • Licensing costs can become expensive at scale
  • Requires significant system resources for desktop components
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