Promote to production: Voice to Text tool - #62
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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Transcribe speech to text fully on-device via Whisper (transformers.js / onnxruntime-web, WebGPU->WASM). Record from the mic or upload an audio/video file; audio never leaves the browser (only model weights are fetched from CDN on first use, like the OCR tool). - Models: English Fast (whisper-tiny.en), English Accurate (base.en), Multilingual (base). Model-download progress bar. - Output: editable plain text, inline timestamped view, and SRT/VTT subtitle export from Whisper segment timestamps. Copy + download .txt/.srt/.vtt. Pure tested logic in stt.lib.ts (mixToMono, segmentsToText, time formatters, segmentsToSrt/Vtt). SDK boundary stt.engine.ts (only file touching transformers.js). Audio decode in stt-audio.lib.ts (decodeToMono16k). useAudioRecorder hook (MediaRecorder, typed errors, track cleanup) with tests. transformers chunk added to workbox globIgnores. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
feat(voice-to-text): on-device speech-to-text (Whisper)
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Ships the new on-device Voice to Text (Whisper) tool (PR #61) to production.
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