Developer builds fast offline dictation tool using local speech-to-text models

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A developer has created a local, offline dictation tool triggered by a keyboard shortcut, inspired by a local speech model discovered in a recent VS Code release. The tool uses Sherpa-ONNX to run small speech-to-text models entirely on-device, without relying on cloud processing. The project was built with assistance from an AI coding agent and currently supports models including parakeet-tdt-0.6b-v3-onnx and Nemotron. Early results show the tool is fast and accurate, according to the developer. A polished standalone release is planned to save other users the effort of building a similar solution themselves.

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