- benchmark.py: measure RSS delta via /proc/self/status before/after each
transcription; add ram_mb field to BenchRow
- gtksettings.py: add RAM (MB) column to results table (index 8); tooltip
column shifted to index 10
- CHANGELOG.md: full history from v2.02.00 through v2.03.01
- README.md: benchmark description updated to mention RAM column
- MANUAL.md: benchmark result columns as table; Log tab documents
level filter dropdown
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Send by voice: a configured edge-anchored phrase (e.g. "computer send") is
stripped and the rest is delivered AND submitted with Enter. Off by default;
[routing] send_keywords + Settings → Input.
- Wakeword benchmark (Settings → Benchmark): synthesize the wake phrase in
random voices via any OpenAI-compatible TTS server, stream to
wyoming-openwakeword, report recall / false-fires / per-voice breakdown.
New [tts] config block.
- Tests: test_voice_send.py, test_wakeword_bench.py.
- Ignore agent workspace folder jules/.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a configurable voice cancel: saying "abbrechen" (or "cancel") at the start
or end of a clip discards the whole dictation — it is never routed onward,
rewritten, or typed. The rescue for accidentally triggered (e.g. wakeword)
recordings. Matched the same edge-anchored, ASR-tolerant way as routing keywords
via routing.is_cancel(), so the word buried mid-sentence won't trip it; checked
in Daemon._process right after transcription, before routing/rewrite/delivery.
Configurable via [routing] cancel_keywords (default ["abbrechen", "cancel"];
empty disables) and Settings -> Mic/Cues -> "Cancel words". The overlay briefly
shows "Abgebrochen". Docs (both READMEs) and CHANGELOG updated; tests cover the
matcher, the config round-trip, and the discard/deliver pipeline branches.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Show a translucent, click-through bubble the moment recording starts (by
hotkey or wakeword): a pulsing microphone, a live waveform of the mic
level, and the recognised text (word-by-word when streaming, otherwise a
brief final-result confirmation). The tail points at the text caret via
AT-SPI accessibility, falling back to the mouse pointer, then a screen
corner. Also gives hands-free wakeword sessions visible feedback, whose
notifications are suppressed by design. X11 only.
- overlay.py: GTK override-redirect HUD (mic + waveform + bubble), drawn
with Cairo; thread-safe, marshalled onto the GTK loop.
- caret.py: best-effort anchor (AT-SPI caret -> pointer -> window/corner).
- daemon: optional level_cb/text_cb hooks; reuses the VAD level meter for
non-streaming, a dedicated meter for streaming. Stays UI-agnostic.
- gtkui: instantiate the overlay, drive show/update/hide from status.
- General settings: "Visual overlay" toggle; config overlay_enabled /
overlay_anchor (default on, "caret").
- Docs: CHANGELOG 1.5.0, version bump, README + MANUAL.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Replace the cramped thumbnail tables in the root and linux READMEs with one
full-width image per Settings tab (Presets, Engines, Input, Wakeword, General,
Benchmark, Log, About), each followed by a caption explaining what the tab does.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Refresh the panel/tray/settings screenshots, normalise "tray menu.png" to
tray-menu.png (drop the old "panel resorted.png"), and add a hero image plus a
Screenshots section (settings tabs) to linux/README.md.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
packaging/build-deb.sh builds an installable blitztext_<ver>_arm64.deb with a
desktop entry, app icon, and launcher. Bundles a relocatable venv (all Python
deps, no pip at install) and declares system deps (python3-gi, xdotool,
libnotify-bin, recorder). Built on /usr/bin/python3 so the tray works out of
the box. Installs via the Software app or `apt install ./…deb`.
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>
