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What is Vidix?

Vidix is a macOS productivity tool that uses AI to automate text-based tasks directly within any application. Developed by an independent team, it solves the problem of context switching by allowing users to select text, trigger an AI action via a keyboard shortcut, and receive the response pasted in place. Core capabilities include code review, meeting notes summarization, translation, rewriting, and image analysis using multimodal models. It integrates with OpenAI, Anthropic, Google Gemini, and local Ollama models. Vidix is ideal for developers, writers, project managers, and anyone who frequently works with text on a Mac and wants to streamline repetitive tasks without leaving their current app.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMComputer Vision
Purpose of Tool

To automate text-based workflows on macOS by selecting text and invoking AI actions via shortcuts.

Compatibility

macOS only (arm64), integrates with any app via text selection and keyboard shortcuts.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

AI-powered text selection and replacement

Multi-step workflow canvas

Support for OpenAI, Anthropic, Gemini, Ollama

Image assistant with multimodal models

Palette for quick recipe access

Copy Editor with markdown preview

Real-time status toasts

Local processing and privacy controls

Who Is It For?

Developers

Writers

Project Managers

Researchers

Designers

Students

Remote Teams

Freelancers

Power Users

Privacy-Conscious Users

Pricing

Popular

Monthly

$19/monthly
  • Unlimited recipe library
  • Live streaming & advanced editor
  • Image assistant with Gemini AI
  • Admin panel with roles

Yearly

$190/yearly
  • All Monthly features
  • 2 months free

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Pros & Cons

Pros

  • Seamless integration with any macOS app reduces context switching.
  • Strong privacy with local processing and direct provider connections.

Cons

  • Currently only available for macOS arm64, limiting platform reach.
  • Advanced features may require a paid plan after trial.

FAQs

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