Skip to content
cask.news
← Browse all apps

Amical vs FluidVoice

Side-by-side comparison for macOS

Amical

8.0
Productivity

AI dictation app

FluidVoice

8.0
Productivity

Offline voice-to-text dictation app with AI enhancement

Metric Amical FluidVoice
Category Productivity Productivity
AI Score 8.0 8.0
30-day Installs 114 298
90-day Installs 434 298
365-day Installs 771 298
Version 1.2.0 1.5.13
Auto-updates Yes Yes
Deprecated No No
GitHub Stars 975 1.8K
GitHub Forks 85 110
Open Issues 35 44
License MIT GPL-3.0
Language TypeScript Swift
Last GitHub Commit 1mo ago 21d ago
First Seen Jan 19, 2026 Apr 14, 2026

Reviews

Amical

Amical is an AI dictation app that offers fast and accurate speech-to-text conversion, designed to be used offline with local-first functionality. It's open-source, powered by free models, and aims to enhance productivity by allowing users to type three times faster without needing a keyboard. Ideal for writers, journalists, and anyone looking for efficient text input.

Converts speech to text using AI models, working offline and locally for privacy and speed.

Pros

  • + Open-source and free to use with no hidden costs.
  • + Works offline, ensuring privacy and reliability.
  • + Fast and accurate speech-to-text conversion, claims to be 3x faster than traditional typing.

Cons

  • - Limited community discussion outside of GitHub.
  • - Requires some learning to use effectively.

FluidVoice

FluidVoice is a fast, free, and open-source offline voice-to-text app with AI enhancements, ideal for users seeking a cost-effective alternative to paid dictation tools.

FluidVoice converts spoken words into text using offline AI technology, providing a cost-effective and privacy-focused solution for dictation needs.

Pros

  • + Free and open-source with a strong community following
  • + Fast and efficient offline AI-based dictation
  • + Privacy-focused with no reliance on internet services

Cons

  • - Smaller user base compared to established alternatives
  • - Potential stability issues, though actively addressed