# Work Breakdown Milestones are ordered so that **every milestone ends in a demoable, working app**. Within a milestone, tasks are roughly in dependency order. Check items off as they land; add follow-up tasks where they belong rather than in a separate backlog. Legend: `[ ]` todo · `[x]` done · `[~]` in progress --- ## WIP Tasks before usage limit cutoff: - [x] Allow users to cancel current transcription. — Cancel button on the file line, wired to worker termination (D-018); covers decode, pending model download, and the pass itself. Server-engine cancel is tracked in M6 (needs the M5 EngineToggle first). - [x] Better user-feedback while transcription is in progress (better than "Listening for the first few words") — the worker now posts `transcribe-progress` (seconds processed / total, from the streamer's chunk timestamps via the pure `TranscribeProgressTracker`); the UI shows a percent in the heading plus a progress bar with mm:ss, and the file flow's placeholder reads "Processing audio…" (the live wording stays live-only). ## M0 — Scaffold cleanup & docs (small) Current state is the raw `bun init` React template. - [x] `Architecture.md`, `Decisions.md`, `WorkBreakdown.md` created - [x] Remove template cruft: `APITester.tsx`, hello routes in `src/index.ts`, Bun/React logo branding in `App.tsx` / `index.html` - [x] Add `@huggingface/transformers` dependency - [x] Target directory layout from `Architecture.md` §3 (empty modules with TODOs are fine) - [x] Smoke test in `tests/` proving `bun test` runs ## M1 — Browser transcription MVP (core) Anonymous user can transcribe an uploaded file with one hardcoded model. **This is the riskiest milestone — do it first, learn from it.** - [x] `src/worker/protocol.ts` — typed messages: load / load-progress / transcribe / partial / result / error - [x] `src/worker/inference.worker.ts` — Transformers.js ASR pipeline (`onnx-community/whisper-tiny.en` hardcoded, WASM only for now), chunked with timestamps, partials streamed via `WhisperTextStreamer` - [x] `src/lib/audio.ts` — decode upload → 16 kHz mono Float32Array (D-012) - [x] `FileDropzone` component (drag-drop + file picker, audio/* and video/*) - [x] `TranscriptView` component — streaming partials, final text, copy button - [x] Model download progress UI (bytes / %, per-file) - [x] Wire into `App.tsx`; delete remaining template UI - [x] Unit tests for audio resampling and protocol handling Notes (M1): - Bun 1.3 does not bundle `new Worker(new URL(...))` graphs (verified against both `bun build` and the dev server), so `src/index.ts` bundles the worker with `Bun.build` at startup and serves it at `/inference.worker.js`; the UI spawns `new Worker("/inference.worker.js", { type: "module" })`. Revisit if Bun gains native worker bundling. - onnxruntime-web fetches its `.wasm` binaries from the jsdelivr CDN (Transformers.js default). Fine for M1; M3 (offline) must serve/cache them locally. ## M2 — Model choice + WebGPU (core) - [x] `src/lib/models.ts` — curated catalog with sizes and dtype defaults (D-006) - [x] `ModelPicker` component — size estimates, English-only vs multilingual, downloaded-state badge (query Cache API) - [x] WebGPU detection in worker, `device` selection with WASM fallback (D-004); surface active backend in UI - [x] Handle model switching (dispose old pipeline, load new) - [x] Language / task options for multilingual models (transcribe vs translate) - [~] Verify quantized variants (q4/q8/fp16) on both backends; record working combinations in `models.ts` Notes (M2): - Quantized-variant verification is pending manual in-browser testing (no real browser in the dev environment). `models.ts` encodes the community-known-good combinations — WASM: q8 (tiny→small) / q4 (medium, large-v3-turbo); WebGPU: fp32 encoder+decoder for tiny/base (fp16 encoders known-bad there), fp16 encoder + q4 merged decoder for small/medium/large-v3-turbo — each with a `verified` flag and note. Only `whisper-tiny.en @ wasm/q8` (exercised in M1) is marked `verified: true`; flip the flags as manual testing confirms each. - Downloaded badge (D-005): `src/lib/modelCache.ts` inspects Cache Storage for transformers-cache entries with `.onnx` hits per model id; M3's offline indicator should reuse `getDownloadedModels`. ## M3 — PWA & offline (core) - [x] `manifest.webmanifest` + icons; installability - [x] `src/pwa/sw.ts` — app-shell precache, cache-first static, network-only API (D-007) - [x] Build step: emit precache manifest from `bun build` output into the SW - [x] SW registration + update flow (new-version toast) - [~] Offline verification: airplane-mode transcription with a previously downloaded model; document the manual test procedure in `tests/offline.md` — procedure written (`tests/offline.md`), pending a manual run in a real browser (none in the dev environment; same caveat as M2's variants) - [x] "Available offline" indicator per model in `ModelPicker` Notes (M3): - `sw.ts` ships with `"__PRECACHE_MANIFEST__"` / `__CACHE_VERSION__` string placeholders; `src/pwa/precache.ts` (pure, unit-tested) splices in the real values. Production: `scripts/build.ts` injects the hashed `dist/` asset list and a content-hash version into `dist/sw.js`. Dev: `src/index.ts` injects an empty list + `"dev"`, so the shell is runtime-cached network-first and HMR keeps working. SW bundles are never minified — the placeholders must survive verbatim. - onnxruntime's `.wasm`/`.mjs` are served from our origin at `/ort/*` (dev: straight from `node_modules/onnxruntime-web/dist`; prod: copied to `dist/ort/`) instead of the jsdelivr CDN, and the SW runtime-caches them cache-first into `whisper-runtime-*` — required for offline inference, too big to precache. Model weights stay in Transformers.js's own `transformers-cache`, which the SW never touches (D-005). - Bun's HTML loader must resolve every `` to a real file, so `index.html` references `./pwa/manifest.webmanifest` / `./pwa/icons/...` relatively (absolute `/...` URLs fail the build — bug found while verifying M3). The bundler emits hashed copies; the fixed `/manifest.webmanifest` and `/icons/*` URLs are still served for the manifest's internal icon refs. `ensureIcons()` must run before the HTML is bundled (icons are generated, not checked in). - Production smoke-tested via curl: `/` and deep links → shell (no-cache), hashed chunks → immutable, `/sw.js` → no-cache, `/manifest.webmanifest` → `application/manifest+json`, `/ort/*.wasm` → `application/wasm`, `/api/*` → 404 network-only. Browser-level behavior (install, airplane mode, update toast) is manual — see `tests/offline.md`. ## M4 — Accounts (Passport.js) - [x] `src/server/db.ts` — bun:sqlite schema: users, sessions (D-009) - [x] Connect-compat adapter + Passport local strategy in `src/server/auth.ts` (D-008) - [x] Routes: `POST /api/auth/register|login|logout`, `GET /api/auth/me` - [x] Password hashing via `Bun.password` (Argon2) - [x] Frontend: login/register forms, session-aware header, logged-out ⇒ no behavioral change (anonymous-first invariant) - [x] Auth tests (register/login/logout, session expiry, wrong password) Notes (M4): - DB path env var is `DB_PATH` (default `./data/app.db`, gitignored); tests inject `createDb(":memory:")` and never touch disk. Session ids are 256-bit base64url; expiry is enforced server-side via `sessions.expires_at`, not just the cookie. Cookie: `sid`, HttpOnly, SameSite=Lax, Max-Age 7d, Secure in production. - One shared `/api/*` dispatcher in `src/index.ts` serves both the dev `routes` table and the production `fetch` handler — new API routes go there. - `src/server/auth.ts` exports `getSessionUser(request)` for M5's auth-guarded `/api/transcribe`. Frontend auth state lives in `src/lib/useAuth.ts` over the framework-free `src/lib/authClient.ts`; `/api/auth/me` failures (401 or offline) fail silent to anonymous — the app is offline-first. ## M5 — Server engine + toggle - [x] Server-side pipeline in `src/server/transcribe.ts` — **faster-whisper** (CTranslate2) via a Python sidecar in `server-py/`, spawned/supervised by Bun (D-013 supersedes the Transformers.js-under-Bun plan); map the shared model catalog to faster-whisper model ids in `src/lib/models.ts` - [x] Degrade gracefully when Python/the sidecar is absent (server engine unavailable; browser engine untouched — anonymous path deploys with Bun alone) - [x] `POST /api/transcribe` — auth-guarded, streamed JSON-lines response (D-011), upload size limit, request abort handling; plus `GET /api/transcribe/status` (availability probe for the toggle) - [x] `src/lib/engine.ts` — `Engine` interface; `BrowserEngine` (wraps worker) and `ServerEngine` (wraps fetch stream) (D-010) - [x] `EngineToggle` component — visible only with a session; persists choice (persistence helpers + status probe already in `lib/engine.ts`; remaining: the component, lifting `useAuth` out of `AuthForms` into `App` so both see one session state, and routing the file flow through the selected engine — live stays on `BrowserEngine` per D-016) - [x] Server model caching/warm-up strategy (don't reload weights per request) - [~] Integration test: same fixture audio through both engines, transcripts agree — supervisor/HTTP layers covered in `tests/transcribe.test.ts` (real `Bun.spawn` against `tests/fixtures/fake_sidecar.py`); real inference is the opt-in `FW_INTEGRATION=1` test + manual run in `tests/server-engine.md` (no pip/browser in the dev environment; same caveat as M2/M3) - [x] Deployment: optional Python/faster-whisper layer for the Docker image + deployer note (base image stays Bun-only; install `server-py/requirements.txt` to enable the server engine) Notes (M5): - Sidecar protocol (`server-py/sidecar.py`): JSON-lines over stdio — `ready`/`fatal` handshake, `transcribe` → `segment`* → `done`, `cancel` between segments, `shutdown`/EOF exits. Audio is handed over as a temp file of raw float32 mono 16 kHz PCM (exactly what the browser engine consumes), read with `np.fromfile` — no container decoding server-side. The last-used model stays loaded (replaced on change, so memory is bounded to one model); device/compute via `FASTER_WHISPER_DEVICE`/`FASTER_WHISPER_COMPUTE` (default auto/int8). - Supervision (`createSidecar`): lazy spawn on first use; a crash rejects in-flight requests and the next request respawns; a missing runtime (no python3 / `fatal` handshake) is remembered as a *permanent* unavailable reason — surfaced verbatim by `GET /api/transcribe/status` and 503s — so a Bun-only deployment never respawn-storms. Tests force this path with `python3 -S -I` (site-packages off) against the real sidecar. - Upload limit: `TRANSCRIBE_MAX_UPLOAD_BYTES` (default 512 MiB ≈ 2¼ h of raw f32 PCM), enforced pre-read via Content-Length *and* while streaming the body to the temp file. Errors after the 200 header travel in-stream as an `{"type":"error"}` line (wire format shared with the client via `src/lib/engine.ts`, so server and `ServerEngine` cannot drift). - `AUTH_ENABLED=false` (D-015) 404s `/api/transcribe*` along with the auth routes — the server engine is session-gated, so it disappears with auth. - Smoke-tested live against the dev server: `/` + auth unchanged; status 401 → (register) → 200 `{available:false, reason:"faster-whisper is not installed…"}`; POST → 503 with the same reason, body untouched. - EngineToggle: one `useAuth()` lives in `App` (passed into `AuthForms` and gating the toggle); the status probe runs on sign-in and the server option renders disabled-with-reason when unavailable. The file flow now goes through the `Engine` interface for **both** paths (D-010): `BrowserEngine` shares the worker with the live loop (distinct requestId namespaces) and a new `stream` flag on the transcribe message keeps token partials + transcribe-progress flowing for id-carrying engine passes (live passes stay non-streaming). Server runs skip the browser model load, show segment partials without a progress bar (faster-whisper's stream carries no window boundaries), and cancel by aborting the fetch (D-018 amendment) — browser runs keep worker-termination cancel. The choice persists in localStorage but only takes effect while signed in with the engine available. - Deployment: multi-stage `Dockerfile` — `runtime` (Bun-only, 244 MB) is the default target so plain `docker build .` (existing CI) is unchanged; `--target with-server-engine` (405 MB) adds python3 + faster-whisper in a venv at `/opt/faster-whisper` (wired via `SIDECAR_PYTHON`), with `FASTER_WHISPER_DOWNLOAD_ROOT` under the `/app/data` volume so weights persist. README.md documents both flavors, all runtime env vars, the DB volume, and the HTTPS/reverse-proxy requirement. Verified live in Docker: Bun-only image degrades per D-013 (`available:false`, "python3 is not available…"); server-engine image ran a real `POST /api/transcribe` of `en_aiproblem.m4a` end-to-end, streamed segments matching the fixture transcript — the server half of the M5 integration-test item is now exercised for real (browser half still needs the manual run). ## M6 — Hardening & polish - [x] Error taxonomy: unsupported file, out-of-memory (suggest smaller model), WebGPU device-lost, network loss mid-download (resume or clear retry) — pure `classifyError` in `src/lib/errors.ts` (D-030) sorts every failure path (decode, load, transcribe, a crashed worker) into one of the four categories plus a generic fallback, each with a user-facing message and an actionable suggestion; the error box in `App.tsx` adds a Retry button for the two retryable kinds (network, device-lost), replaying the failed load or the last file. Unit-tested in `tests/errors.test.ts`. - [x] Cancel in-flight transcription (both engines) — browser engine via worker termination (D-018), server engine via aborting the `/api/transcribe` fetch (D-018 amendment; landed with M5's EngineToggle) - [x] Export transcript: .txt and .srt (timestamps already available) — pure formatters in `src/lib/export.ts` (unit-tested: SRT cue numbering, HH:MM:SS,mmm timestamps, null-end segments borrow the next cue's start or fall back to +2 s, filename derived from the source file); .txt/.srt download buttons next to Copy in `TranscriptView`. Live-mode results reuse the same `result` state with absolute timestamps (D-016), so both flows export identically. - [x] Storage management UI: list cached models, per-model delete — collapsible "Storage" panel (`StorageManager`) listing cached models with exact on-disk size (summed `blob().size`, measured lazily on open) and per-model delete; delete is confirm-free (weights are just cache — they re-download on next use) and refreshes the picker's downloaded/offline badges. Helpers in `src/lib/modelCache.ts` take an injectable Cache-Storage-shaped object (mocked in `tests/modelCache.test.ts`). Scope is the transformers-cache only: the SW's `whisper-runtime-*` cache (onnxruntime .wasm, shared by all models, versioned/cleaned by the SW itself) is deliberately not surfaced — deleting it per-model makes no sense and the SW would just re-fetch it. - [x] Model downloads are user-initiated (D-020): selecting a model/backend no longer auto-downloads weights; the load starts on browser-engine transcription start (file drop / live start) or via an explicit per-model Download button in `ModelPicker` — and never when the engine toggle is set to "server". - [x] Firefox performance: never run the WASM fallback single-threaded after a failed accelerator attempt (worker posts `load-restart`, UI respawns with explicit wasm — D-025); skip WebGPU when fp16 weights need the absent `shader-f16` feature; hint that medium/large lag in live mode on WASM. Field-verified: WASM now gets the full thread pool; ort-web's WebGPU EP on Firefox completes but runs far slower than WASM, so "auto" skips WebGPU on Firefox (D-026, explicit selection still honored — retest on ort bumps). - [x] Mobile OOM crash on Medium+ model loads (D-027) — patched `@huggingface/transformers` (`bun patch`) to load the encoder/decoder sessions sequentially instead of concurrently, roughly halving load-time peak memory for every model; added a mobile UA + `deviceMemory` warn/confirm gate (`src/lib/mobileMemoryGuard.ts`) before any browser-engine load whose estimated peak (`estimatePeakLoadBytes`) is risky on a phone/tablet, covering the explicit Download button and the lazy auto-load on file-drop/live-start alike. - [ ] Basic a11y pass (keyboard, focus, aria on progress/live transcript) - [ ] Production build + `bun start` deployment check; README for deployers ## M7 — Live microphone transcription (browser engine, D-016) Promoted out of the out-of-scope list via D-016. Browser engine only: audio never touches the network, anonymous-first, works offline once a model is cached. - [x] Protocol: optional `requestId` on `transcribe`, echoed on `partial`/`result`/`error` so the live loop can correlate responses (file flow unchanged without ids) - [x] `src/lib/live.ts` — pure, unit-tested segment loop: RMS energy gate, `LiveSegmenter` (speech onset + pre-roll, silence/max-length commits, pure silence dropped), `LiveTranscriber` (single-flight scheduling, final passes before throttled tentative refreshes, stop/drain, absolute-timestamped chunks) - [x] `src/lib/mic.ts` — `getUserMedia` + AudioWorklet chunker from a Blob URL (ScriptProcessorNode fallback), native-rate capture resampled to 16 kHz on the main thread (D-016) - [x] `LiveControls` component — start/stop button + recording indicator; mutually exclusive with the file flow - [x] Live transcript UI: committed text + visually-distinct tentative tail in `TranscriptView`; final stop() result reuses the normal transcript view (copy button, timestamps) - [x] Unit tests: segmenter behavior, transcriber scheduling with a fake engine and injected clock, protocol `requestId` guards - [~] Manual in-browser verification (mic permission, live text, offline run) — procedure in `tests/live.md`, pending a real browser (same dev-env caveat as M2/M3) - [ ] **Future want:** live transcription on the **server engine** — stream mic audio over a WebSocket (D-011's escape hatch) to faster-whisper (D-013) for logged-in users on weak devices. Needs its own decision entry; blocked on M5 landing first. --- ## Deliberately out of scope (for now) Arbitrary Hub model ids, OAuth providers, multi-user transcript storage, whisper.cpp server backend, i18n of the UI. Promote to a milestone via a new entry in `Decisions.md` first.