Gamma AI provides robust, native support for text prompts to generate and edit presentation decks, while its capability for voice input is indirect, relying on external dictation tools provided by the user's operating system or web browser. The platform is fundamentally designed around natural language text input as its primary method for initiating the creation process and making subsequent modifications. There is no evidence of a native, built-in speech-to-text or voice recognition system within the core Gamma.app web interface for direct voice-to-deck generation. The platform's text prompt functionality is extensive. From the 'Create' screen, users can select the option to 'Enter a one-line prompt.' This single instruction is then processed by Gamma's AI to generate a complete presentation outline, which the user can then approve or edit. For more detailed control, Gamma features an 'AI Agent' that functions as a conversational editor. Users can provide natural language commands to this agent to perform a wide range of tasks, such as lengthening or shortening text on a card, transforming the tone of the writing, or changing images across the entire presentation. To assist users, Gamma offers a 'Prompt Library' (accessible at gamma.app/prompts), which contains over 100 categorized example prompts for use cases in marketing, education, and general business. This library serves as a practical guide for crafting effective text-based instructions to leverage the AI's full potential. While Gamma does not have its own integrated voice input feature, users can still use their voice to create prompts through dictation. This is achieved by activating the built-in speech-to-text functionality of their device's operating system, such as macOS Dictation (activated via a keyboard shortcut, typically pressing the Command key twice) or Windows Voice Typing (activated with the Win+H shortcut). When these features are enabled, users can dictate their prompt directly into any text input field within the Gamma application, including the main prompt bar. The operating system transcribes the spoken words into text, which Gamma then processes as a standard text prompt. This method is an indirect workaround and its effectiveness depends on the quality of the OS-level dictation service. Some research noted a third-party mobile application on the App Store named 'Mega AI' that listed 'voice notes' powered by Gamma AI, but this appears to be a separate integration or a mobile-specific wrapper, not a native feature of the main Gamma web platform. Regardless of the input method—whether typed text or dictated voice—the platform's output is subject to the same caveats. Gamma positions its AI as a 'co-creator,' emphasizing that human oversight is a crucial part of the workflow. The initial draft generated by the AI, while a significant time-saver, is not intended to be the final product. Users are expected to review the content for factual accuracy, relevance, and alignment with their specific brand voice and messaging. This review process is necessary to correct any potential AI 'hallucinations' or errors and to refine the generated text to meet professional standards. The quality of the output is also directly related to the clarity and specificity of the prompt provided by the user. In conclusion, Gamma AI's core functionality is built around a sophisticated text prompt system that allows for both initial generation and iterative editing through natural language. It fully supports typed text prompts as its native input method. While it lacks a built-in voice recognition engine, it is compatible with external OS and browser dictation tools, allowing for an indirect form of voice input. This makes the platform accessible via voice for users with the appropriate system-level software, but all generated content requires a final stage of human review and refinement to ensure quality and accuracy.
Last verified: 2/4/2026
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