Superwhisper vs FluidVoice
Side-by-side comparison for macOS
Superwhisper
7.0Dictation tool including LLM reformatting
FluidVoice
8.0Offline voice-to-text dictation app with AI enhancement
| Metric | Superwhisper | FluidVoice |
|---|---|---|
| Category | Productivity | Productivity |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 580 | 1.4K |
| 90-day Installs | 1.8K | 5.9K |
| 365-day Installs | 8.7K | 11.6K |
| Version | 3.0.1 | 1.6.11 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 12 | 1.8K |
| GitHub Forks | 2 | 110 |
| Open Issues | - | 44 |
| License | — | GPL-3.0 |
| Language | Python | Swift |
| Last GitHub Commit | 7mo ago | 6mo ago |
| First Seen | Dec 13, 2024 | Apr 14, 2026 |
Reviews
Superwhisper
Superwhisper is a unique dictation tool that leverages AI for offline voice-to-text conversion, offering a free alternative to premium services. It supports LLM reformatting and is designed for macOS users who need efficient text transcription and editing.
Superwhisper converts spoken words into text using AI-powered offline processing and includes features for reformatting with large language models.
Pros
- + Free and open-source alternative to premium dictation tools
- + AI-powered offline voice-to-text conversion
- + Support for LLM reformatting and text editing features
Cons
- - Unknown license status may raise concerns for some users
- - Limited GitHub stars suggest moderate community adoption
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