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

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

Updated Apr 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

Process Street

0.0 (0 reviews)

Process Street is a modern process management platform that helps you create, track, and automate core business workflows through interactive checklists to ensure your team follows consistent operating procedures.

Starting at Free
Free Trial 14 days

Quick Comparison

Feature Nanonets Process Street
Website nanonets.com process.st
Pricing Model Freemium Freemium
Starting Price Free Free
FREE Trial ✓ 7 days free trial ✓ 14 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud mobile cloud mobile
Integrations Zapier Salesforce QuickBooks Google Drive Slack Microsoft Dynamics Sage Xero HubSpot NetSuite Slack Zapier Salesforce Google Drive DocuSign Microsoft Teams HubSpot Trello Airtable Dropbox
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries logistics finance healthcare
Customer Count 0 0
Founded Year 2017 2014
Headquarters San Francisco, USA San Francisco, USA

Overview

N

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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Process Street

Process Street is a simple way for you to manage your team's recurring checklists and procedures. Instead of static documents that sit in a folder, you get interactive workflows that guide your team through every step of a task. You can create rich documents with images, videos, and form fields to capture data as work happens, ensuring nothing falls through the cracks during complex operations.

You can use it for everything from employee onboarding and client setups to content approvals and safety inspections. The platform helps you maintain high standards by providing visibility into who is doing what and when. It scales with your needs, offering a free version for individuals and robust paid plans for teams that need advanced automation, conditional logic, and role-based permissions.

Overview

N

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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Process Street Features

  • Interactive Checklists. Turn your static SOPs into live checklists where you can track progress and ensure your team follows every step.
  • Conditional Logic. Create truly dynamic workflows that automatically adapt and show or hide tasks based on the data you enter.
  • Collaborative Approvals. Streamline your decision-making by setting up single or multi-stage approval flows for any task or document.
  • Data Capture Forms. Collect structured data within your workflows using form fields, then sync that information directly to your other tools.
  • Task Assignments. Assign specific steps to different team members and set dynamic due dates to keep your projects on schedule.
  • Workflow Automations. Connect your processes to thousands of apps to trigger actions automatically and eliminate manual data entry.

Pricing Comparison

N

Nanonets Pricing

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

Process Street Pricing

Free
$0
  • 1 active workflow
  • Unlimited pages
  • Unlimited storage (5MB/file)
  • Email support
  • Standard templates

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

Process Street

Pros

  • Intuitive interface makes creating complex workflows simple
  • Conditional logic handles complicated business rules easily
  • Strong integration capabilities with Zapier and Slack
  • Excellent for maintaining consistency across remote teams

Cons

  • Pricing can be high for very small teams
  • Mobile app experience is less robust than desktop
  • Steep learning curve for advanced automation features
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