Back to corpus
research noteexperiment writeup candidatescore 24

SpeakFlow 🎙️

Hold **⌥Space** anywhere on macOS → speak → text appears in whatever app is focused. No cloud, no subscription, no latency.

Open full HTMLDownload HTMLCorpus JSONPaper schema

Full HTML reader

Read the full artifact

Open in new tab

Extracted abstract or opening context

Hold **⌥Space** anywhere on macOS → speak → text appears in whatever app is focused. No cloud, no subscription, no latency. | Wave | Tasks | Status | |------|-------|--------| | **Wave 0: Foundation** | SF-0.1 → SF-0.4 | ✅ Done — builds, pipeline wired | | **Wave 1: Mac Injection** | SF-1.1 → SF-1.4 | ⬜ Queued | | **Wave 2: AI Cleanup** | SF-2.1 → SF-2.3 | ⬜ Queued | | **Wave 3: iOS Keyboard** | SF-3.1 → SF-3.5 | ⬜ Queued | | **Wave 4: Ship** | SF-4.1 → SF-4.4 | ⬜ Queued | - `Desktop/Speak/SpeakReader/` — HotKeyManager, PermissionsManager ported - `Desktop/Speak/services/macos_speech_service.py` — API design reference - `Desktop/cross-script-bridge/ios-keyboard/` — KeyboardViewController (Wave 3 source) - `Desktop/voice-corpus/` — 382 voice notes (Wave 2 training data) Track progress: [#speakflow-ops](https://discord.com/channels/1470100197941051623/1473426349849972739)

Promotion decision

What has to happen next

Attach run IDs, datasets, metrics, and reproduction commands.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.