Speakmac
Speakmac: Fast, private voice-to-text for macOS with a one-time payment.
Category: Chat
Price Model: One-time payment
Audience: Business
Trustpilot Score: N/A
Trustpilot Reviews: N/A
Our Review
Speakmac: Private, Fast Voice-to-Text for macOS
Speakmac is a powerful voice-to-text application designed specifically for macOS users with Apple Silicon processors. Built by JD, it runs entirely locally on your device, ensuring privacy and speed with transcription times under 0.5 seconds. Ideal for professionals and individuals who need fast, accurate text input across any application with a text cursor—like VS Code, Xcode, Slack, or Gmail—Speakmac requires no cloud processing and offers a one-time payment model for a lifetime license. With support for over 50 languages and a clean, native interface, it’s a lightweight, grammar-aware tool that respects your privacy while enhancing productivity.
Key Features:
- Local Processing: Runs on-device with no cloud dependency for maximum privacy.
- Fast Transcription: Delivers results in under 0.5 seconds.
- Cross-App Compatibility: Works in any application with a text cursor.
- Multi-Language Support: 50+ languages included out of the box.
- Grammar-Aware: Understands context for more accurate transcriptions.
- Lightweight & Native: Minimal system impact with a clean, native macOS UI.
- Private by Design: No data is sent to servers.
- One-Time Payment: Lifetime license with 12 months of updates.
- Optional Renewal: $19/year for continued updates.
- 14-Day Money-Back Guarantee: Risk-free trial.
- Code-Signed & Notarized: Verified security for macOS.
Pricing: Speakmac offers a one-time payment model with a Personal license for $19 (1 Mac) and a Pro license for $29 (2 Macs). Updates are included for 12 months, with an optional annual renewal for $19.
Conclusion: Speakmac is a privacy-first, high-performance voice-to-text solution that brings speed, accuracy, and simplicity to macOS users, making it an ideal tool for writers, developers, and professionals seeking a reliable, local transcription experience.
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