NilsBriggen
9f42ee2460
Private, offline speech-to-text that runs Whisper on the user's own device — free, no account, no per-minute fees. Replaces Otter.ai / Rev. - Pure, tested engine: chunking, overlap timestamp-stitching, exports (SRT/VTT/TXT/MD/JSON), WAV codec, resampler, job queue, model catalog (142 tests). - Platform-abstracted TranscriptionEngine: transformers.js on web (loaded from CDN at runtime to dodge Metro's onnxruntime-web bundling limits), whisper.rn on native. Shared pipeline orchestrates decode -> chunk -> transcribe -> stitch. - Cross-platform StorageRepo (Dexie web / expo-sqlite native), Zod-validated. - UI: library + search, import, live-progress transcription, synced click-to-seek editor, multi-format export; model picker + privacy in settings. - Web ships as a single-page PWA with COOP/COEP isolation for threaded WASM; Docker (nginx) image + Traefik compose for wisp.briggen.dev. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
16 lines
595 B
TypeScript
16 lines
595 B
TypeScript
// Public entry point for audio decoding.
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//
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// `./decodeImpl` is resolved by Metro to the right platform sibling
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// (`decodeImpl.web.ts` on web, `decodeImpl.native.ts` on iOS/Android), each of
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// which re-exports the matching `decoder`. Consumers call `getDecoder()` and
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// stay platform-agnostic; they should never import `decode.web` / `decode.native`
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// directly.
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import { decoder } from './decodeImpl';
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/** Return the platform-resolved audio decoder. */
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export const getDecoder = () => decoder;
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// Re-export the shared types (`AudioDecoder`, `AudioFileInput`).
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export * from './decode';
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