Cotypist provides inline word predictions across Mac applications, functioning similarly to Gmail’s Smart Compose but system-wide. The app suggests next words based on learned typing patterns rather than generating paragraphs or rewriting content, preserving the user’s writing voice while reducing keystrokes.
Predictions appear as users type and can be accepted word-by-word via keyboard shortcut or ignored entirely. The adaptive learning system adjusts suggestions in real-time based on accepted and rejected predictions, gradually aligning with individual phrasing patterns. The developer claims up to 50% keystroke reduction for regular users.
All AI processing occurs locally on-device. No writing data uploads to external servers, addressing privacy concerns for sensitive business or personal communications. This local processing also enables near-instantaneous completions on Apple Silicon hardware.
The app functions across most Mac applications including email clients, messaging apps, browsers, and document editors. Multi-language support is available, with English optimization and support for other languages.
System requirements: Apple Silicon Mac (M1 Pro, M2, or higher recommended) with 16GB RAM minimum. macOS 14 Sonoma or later. Intel Macs not supported. Memory usage approximately 1-2GB when active.
Pricing: Currently free during pre-release. Final pricing unannounced; developer commits to individual-user affordability. Early access available via website signup.
Limitations: Does not function in most IDEs, Terminal, or Google Docs comments due to how these applications handle text input. High memory requirements exclude older or base-model Macs.
Alternatives: macOS built-in text replacement handles static phrases. Rocket Typist provides text expansion with snippets. TextExpander offers cross-platform snippet expansion. None provide AI-based predictive suggestions.
Suitable for users who write extensively (emails, documentation, support responses) and want typing acceleration without AI-generated content that alters their voice.
