Ui.Vision RPA vs Durable

Detailed side-by-side comparison to help you choose the right tool

Ui.Vision RPA

Automation

Open-source RPA software for web automation, desktop automation, and AI computer use across Windows, macOS and Linux. Includes OCR capabilities and browser automation features.

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Starting Price

Custom

Durable

Automation

AI platform that turns enterprise problems into production-ready automations and custom software without coding, generating real code rather than agent chains.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureUi.Vision RPADurable
CategoryAutomationAutomation
Pricing Plans8 tiers10 tiers
Starting Price
Key Features
  • â€ĸ Open-source RPA core with AGPL license
  • â€ĸ Browser automation for Chrome, Edge, and Firefox
  • â€ĸ Desktop automation across Windows, macOS, and Linux
  • â€ĸ Natural language problem-to-requirements conversation
  • â€ĸ Plain-English editable specifications as source of truth
  • â€ĸ Real production code generation (not agent chains)

Ui.Vision RPA - Pros & Cons

Pros

  • ✓Completely free and open-source core with 150,000+ users worldwide — rare in the enterprise RPA market
  • ✓All automation runs locally; no data is sent to external servers, which meets strict compliance requirements
  • ✓True cross-platform support for Windows, macOS, and Linux from a single browser extension
  • ✓Drop-in Selenium IDE import/export means existing Selenium test suites migrate with minimal rework
  • ✓Native Anthropic Claude Computer Use integration brings modern AI agent capabilities into a traditional RPA workflow
  • ✓Visual/OCR-based automation handles complex websites and legacy desktop apps that DOM-only tools cannot

Cons

  • ✗Browser-extension-based UI feels dated compared to standalone RPA studios like UiPath or Power Automate
  • ✗Desktop automation and command-line execution require paid XModules — not fully free for advanced use
  • ✗Documentation is functional but fragmented across manual, forum, and blog; steeper learning curve for non-developers
  • ✗No managed cloud orchestration or scheduling — users must build their own runner infrastructure
  • ✗Smaller ecosystem of pre-built connectors compared to major commercial RPA vendors

Durable - Pros & Cons

Pros

  • ✓Generates real production code rather than brittle prompt-chained agents, resulting in software that performs like engineer-written systems
  • ✓Requirements-first workflow lets non-technical stakeholders edit automations in plain English without filing engineering tickets
  • ✓Self-maintaining automations auto-fix API schema changes and rate limits, reducing long-term operational overhead
  • ✓Connects to 50+ named enterprise integrations (Salesforce, Snowflake, HubSpot, Jira, Stripe, Datadog, etc.) plus any API-accessible system
  • ✓Version history with approval gates (e.g., v2.1.4, v2.1.3) provides audit trail suitable for regulated enterprise environments
  • ✓AI is scoped only where it adds value, avoiding the nondeterminism problems of full LLM-agent architectures

Cons

  • ✗Enterprise-only pricing with no public tiers, free trial, or self-serve signup — every evaluation requires booking a demo
  • ✗Not suitable for solo developers, hobbyists, or small teams without procurement processes
  • ✗Newer platform compared to established automation players like Zapier or Make, with a smaller documented customer base
  • ✗Requires connected systems access upfront, which can slow initial onboarding through enterprise IT and security review
  • ✗Less suitable for simple consumer workflows where a lightweight no-code tool would be faster to deploy

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