Spoke is a native macOS voice dictation application that lets you speak into any text field across your entire system. It is designed for anyone who types regularly—developers, writers, and professionals—and its core value is speed and privacy. Unlike cloud-based services, Spoke processes all audio entirely on-device using a 600-million-parameter neural network, ensuring your voice never leaves your computer. With a one-time purchase of $9.99 and no subscription, it offers a cost-effective alternative to monthly tools. Spoke works in every Mac app without requiring any integrations, making it a universal input method that respects your hardware.
The primary pain point Spoke solves is the inefficiency and friction of typing. For knowledge workers who send hundreds of messages or write extensive documents daily, typing is slow and can lead to repetitive strain injuries. Dictation is faster—Spoke claims it is up to 4 times quicker than typing—but most dictation tools are cloud-dependent, raising privacy concerns and requiring internet access. Additionally, many voice solutions are limited to specific apps or require complex setup. Spoke eliminates these barriers by offering a zero-setup, offline-capable, and universally compatible dictation experience that works wherever your cursor is.
Spoke’s first major feature is on-device transcription. It uses a 600M parameter neural network that runs locally on Apple Silicon, achieving sub-400ms latency for a 60-second audio clip. This means you can hold a customizable hotkey, speak naturally, and see text appear instantly in the frontmost app. The audio never leaves your Mac, and no cloud transcription or telemetry is involved. This feature is critical for users who handle sensitive information—such as legal documents or code—and cannot risk data exposure. It also works offline, making it reliable in any environment.
The second major feature group is the Flow Builder. Flows are visual multi-step workflows that chain voice input with various actions. You can design custom sequences: for example, a “Smart Email” flow that takes your speech, applies an AI skill to fix grammar, and inserts the polished text into your email client. Flow nodes include voice input, text transforms, AI skills, conditions, app switching, key presses, webhooks, and more. Each flow can be triggered by a dedicated shortcut or mouse button. This transforms Spoke from a simple dictation tool into a powerful automation engine that can execute complex, multi-app tasks from a single voice command.
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The third feature group is AI post-processing and integration with large language models. Spoke allows you to attach an AI Skill step to any flow, which sends your transcribed text to providers like OpenAI, Anthropic, Google Gemini, or Ollama (you bring your own API key). The AI can fix grammar, apply context-aware formatting, translate languages, or turn speech into development prompts. This is particularly useful for professionals who need to produce polished output quickly. For example, you can speak a casual message and have it automatically rewritten in a professional tone before insertion. Spoke avoids vendor lock-in, letting you switch AI providers or skip AI entirely for pure dictation.
Spoke works through a simple yet powerful workflow: hold a shortcut key, speak, and release. Your audio is transcribed locally by the on-device neural network, then passed through a Flow—a chain of steps you predefine. The final result lands exactly where you need it: pasted into the active app, copied to clipboard, saved to a file, or sent to a webhook. You can set up different flows for different applications—professional tone for email, casual for Slack, code-formatted for your IDE—all triggered by distinct hotkeys. Spoke also includes a comprehensive transcription history with search, filtering, and configurable retention policies.
Concrete use cases include dictating first drafts, Notion pages, or email replies at three times the speed of typing. Developers can create docstrings, commit messages, Slack threads, and PR descriptions without taking their hands off the keyboard. A novel use case is talking to a coding agent: you can speak, take timeline-aware screenshots, and capture clipboard content—all in one message—which flows into Claude Code via an encrypted pipeline. This enables rich, contextual communication with AI coding assistants. Another scenario is using voice to control the terminal: speak a command like “list all files” and Spoke formats it as a CLI command, switches to Terminal, types it, and presses Return.
Spoke is built exclusively for macOS, optimized for Apple Silicon, and lives in the menu bar for quick access. It supports 24 languages for on-device dictation and requires no internet connection. The target audience includes Mac-using professionals across all fields—writers, developers, designers, project managers—and anyone who sends more than 20 messages a day. Pricing is straightforward: a free tier with 50 transcriptions and a licensed version for $9.99 one-time, which includes unlimited transcriptions, all features, and updates forever. There are no subscriptions, no hidden costs, and no cloud dependencies. Spoke’s core takeaway is that it delivers fast, private, and affordable voice dictation that works in any app on your Mac.
Spoke is designed for macOS users who type extensively and want to speed up their workflow with voice. Primary segments include software developers who need to write code, documentation, and team messages without leaving their keyboard; writers and bloggers who draft long-form content quickly; project managers and remote workers who send frequent Slack messages and emails; and anyone who uses multiple apps throughout the day and values privacy. It also targets users who communicate with AI coding agents (like Claude Code) and need a fast, contextual voice input pipeline. Spoke appeals to privacy-conscious individuals who avoid cloud-based dictation services and prefer a one-time purchase model over ongoing subscriptions.