CancelWatcher accumulates raw PCM from the VAD LevelMeter (via new
on_chunk callback) and runs a fast beam_size=1 transcription check every
~0.6s. When a cancel keyword is detected it immediately calls
cancel_dictation() without waiting for the silence timer to expire or
a full transcription to complete.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- BenchRow gains a device field; Transcriber records its resolved device, so
local engines report CPU or GPU and remote engines show "remote". New Device
column in the results table.
- Accuracy is now case-sensitive by default (capitalisation counts) so an
all-lowercase transcript no longer scores 100%. Punctuation is still ignored.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New logbuffer.py captures app messages (log()) and library logs (faster-whisper,
huggingface_hub) into a ring buffer, mirrored to stderr. Settings gains a Log
tab: monospace view, 1s refresh, auto-scroll, Copy, Clear — so model
download/load progress is visible instead of an opaque "Loading…". transcribe
and daemon now log via the buffer.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
One hotkey (Ctrl+Alt+Space) records; the spoken keyword at the start or end of
speech selects the preset, which is then stripped and the rest applied. New
routing.py does ASR-tolerant matching (normalize + fuzzy + edge-window scan +
token-drift slack); config gains a [routing] section and per-preset `keywords`;
the daemon adds a "route" mode and biases Whisper with the keywords as hotwords.
Falls back to a default preset when no keyword is recognised.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The upstream app is macOS-only (Swift/SwiftUI, CoreML/WhisperKit) and can't
run on Linux or in a container. This adds a native host tool under linux/ that
reproduces the workflow: focus any text field, press a hotkey, speak, and the
optionally-rewritten text is typed into that field.
- Engine: pynput global hotkeys → mic record → local faster-whisper →
optional OpenAI-compatible rewrite → xdotool typing into the focused window
- Frontends: system tray (AppIndicator, default), tkinter control panel,
and headless modes
- Config-driven workflows in ~/.config/blitztext/config.toml with per-workflow
prompt/model/temperature overrides
- Packaging: install.sh, requirements.txt, systemd user unit
- Targets X11; local transcription runs CPU int8 on this arm64 host
See linux/CHANGELOG.md and linux/README.md for details.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
