SpeakEasy – Voice-to-Text with File Context for AI Agents (speakeasydev.com)

SpeakEasy is a new Windows-focused voice-to-text tool designed to streamline interactions with AI coding assistants like Windsurf and Cline. Using OpenAI Whisper for transcription, SpeakEasy converts spoken filenames into @filename syntax with Tab-completion, injects file context directly into AI chats, recognizes 100+ languages and programming formats (TypeScript, Python, Go, Rust, etc.), and offers a 3.0–3.5s average recording-to-text latency. It requires an OpenAI API key (audio is sent to Whisper; the key is encrypted locally), provides 100 free transcriptions/month, and has a low per-minute cost (~$0.006). There’s an upgrade path for local processing and “Ultimate” privacy options, plus 25+ built-in voice commands, hotkey activation, and a $4.99/mo pricing tier pitched below competitors. For the AI/ML and developer community this matters because it reduces prompt-building friction and preserves developer flow: spoken context (including file references) lets agents receive richer, timely information without interrupting coding momentum, accelerating tasks that used to take hours. Technically, SpeakEasy showcases tight integration between speech recognition and agent workflows—automatic syntax insertion, encrypted local key storage, and support for local processing—while also surfacing trade-offs: transcription depends on OpenAI Whisper unless you opt into local processing, so teams should weigh latency, cost, and privacy when adopting it.