fairy123456789/voice-to-work
Turn noisy spoken task and product dumps into executable todos or implementation-ready specifications.
Convert messy voice input, imperfect speech recognition, half-formed product ideas, and iterative corrections into an implementation-ready software specification for Codex, Claude Code, Copilot, Cursor, or another coding agent. Use when the user speaks faster than they structure requirements, named entities are misrecognized, context or memory can safely resolve recurring terms, and the final output needs scope, flows, data, constraints, acceptance tests, and explicit unknowns rather than a raw transcript.
Convert a long, messy, repetitive, speech-recognition-heavy task dump into a precise executable to-do list. Use when the user speaks tasks in inaccurate ASR language, changes priorities mid-sentence, mixes ideas with actions, or wants a downloadable standalone interactive HTML to-do that can be saved or dragged to the desktop. Use context-aware named-entity repair when a recurring term is clearly misrecognized, preserve uncertain corrections, and produce concrete definitions of done.