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OpenWhispr vs TypeWhisper
Side-by-side comparison for macOS
OpenWhispr
6.0Privacy-first voice-to-text dictation with AI agents
TypeWhisper
8.0Speech-to-text and AI text processing
| Metric | OpenWhispr | TypeWhisper |
|---|---|---|
| Category | Productivity | Productivity |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 334 | 238 |
| 90-day Installs | 487 | 629 |
| 365-day Installs | 491 | 629 |
| Version | 1.9.2 | 1.6.0 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 1 | 1.4K |
| GitHub Forks | - | 98 |
| Open Issues | - | 41 |
| License | NOASSERTION | GPL-3.0 |
| Language | Swift | Swift |
| Last GitHub Commit | 1mo ago | 2mo ago |
| First Seen | Jul 23, 2026 | Jun 20, 2026 |
Reviews
OpenWhispr
OpenWhispr offers a privacy-focused, locally-run voice-to-text solution for macOS users, ideal for those prioritizing data security and accuracy.
Converts speech to text locally on macOS devices using AI agents.
Pros
- + Focus on privacy with local processing
- + Built for macOS with Swift integration
- + Open-source nature
Cons
- - Low community traction
- - Unclear licensing
TypeWhisper
TypeWhisper offers local speech-to-text with on-device AI, ensuring privacy, and includes optional cloud integration. It supports multiple engines and profiles, making it ideal for users seeking privacy and flexibility in speech-to-text tasks.
Converts speech to text using various engines and processes text with AI, prioritizing privacy.
Pros
- + Focus on privacy with local processing
- + Multiple engines and customization options
- + Strong performance in speech-to-text tasks
Cons
- - Recent bugs affecting live transcription
- - Complex user interface