Paged GTK dialog guides through trigger method, keyboard shortcuts,
wakeword server, STT engine, and optional LLM setup. Shows automatically
on first launch, re-openable via Settings → "Setup Wizard…". Sets
setup_complete in config so it doesn't reappear.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
WakewordActionListener opens a second Wyoming connection during active
wakeword recording, listening for the configured cancel/send models. When
either fires it immediately calls cancel_dictation() or finish_dictation()
without any silence timer or Whisper pass. Settings UI adds Cancel model
and Send model pickers to the wakeword config card, populated from the
same server model list as the trigger model.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add/Quickstart/Reload/Delete buttons + Name field mirror the STT engines UI.
Four quickstart templates for common wyoming-openwakeword setups.
Migration: existing wakeword_uri/model auto-promoted to first preset.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds a "Server preset" combo in the Hands-free wakeword card that lists
all configured wakeword engines by name. Selecting one auto-fills the
URI and model fields and re-probes the connection. Selection persists
via wakeword_active in config.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
After running a benchmark, each engine's best result (time, accuracy)
is persisted to config and shown as a small info line in the Engines tab
when that engine is selected. Updates live as the benchmark runs.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Engines tab: move Test button out of the toolbar, place it in a row
directly beside the result label so button and output are co-located;
result label is now selectable so error text can be copied
- Benchmark tab: add bench_wav/bench_ref/bench_expand_models to Config;
file pickers restore last-used paths on open; any change (file-set,
toggle, or Run) writes directly to cfg so paths survive without Save;
[benchmark] section written to config.toml on Save
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add llm_engine field to Workflow (config.py load/save)
- Daemon picks the named engine per-preset, falls back to active engine
- Settings Presets tab: replace free-text model field with engine dropdown
populated from configured engines; "(active engine)" = default
- Fix LLM token streaming crash: coalesce GLib.idle_add calls so only
one flush is ever queued (prevents GTK main loop flooding)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
caret: change default overlay_anchor from "caret" to "pointer" — AT-SPI's
synchronous D-Bus extents read on the GTK main loop could freeze the entire
X11 session when the focused app was slow to respond. Pointer anchor is a
reliable fallback (the mouse is almost always near where you're typing) and
avoids AT-SPI entirely by default.
caret: wrap the AT-SPI rect() read in a daemon thread with a hard 300ms
timeout — so even if overlay_anchor="caret" is configured manually, a frozen
or unresponsive target app can never stall the GTK main loop.
settings: replace the Manual tab's plain TextView with a styled markdown
renderer (_md_panel): # h1/h2/h3 headings, **bold**, *italic*, `inline code`,
> blockquotes, --- rules, bullet/numbered lists, and | tables |.
settings: infobox background changed from theme-adaptive grey (unreadable on
dark themes) to a fixed blue tint (rgba 66,133,244 @ 9%) with a matching blue
border — readable in both light and dark themes.
settings: active notebook tab now shows bold text with a #1a73e8 blue colour
and extra padding, making the current tab obviously distinct.
settings: emoji picker buttons enlarged to 20 px / 38×38 px minimum (grid)
and 18 px / 34×34 px (category bar) via bt-emoji-btn / bt-emoji-cat-btn CSS
classes — previously rendered at the default button label size (~11 px).
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>
- Spoken presets: route() now also matches a preset's name as an implicit
keyword, so presets with no configured keywords (Nicer email, Calm down,
Add emojis) are triggerable by voice — say the name. Explicit keywords still
win; names are added to STT hotwords too. Tests added.
- General tab: switches moved to the far right of each row with an inline
grey description (new _switch_row helper) so each toggle is self-explanatory.
- About tab: add "Copyright: 2026 mARTin Bierschenk - Design".
- MANUAL + CHANGELOG updated.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The matched-preset feedback used _dnotify, which is suppressed for hands-free
sessions — so wakeword users never saw which keyword/preset fired.
- Add a dedicated "Announce matched preset" notification (_rnotify), gated by
a new [general] notify_routing flag (default on) and independent of the
hands-free silence, so it shows for wakeword commands too. It only fires on a
real routing match, so it never spams when nothing is said.
- Show each preset's emoji in that notification; add a per-preset "Icon (emoji)"
field to the Presets editor so matches are visually distinct.
- General-tab toggle; MANUAL + CHANGELOG updated. Adds a test that the match is
announced even when _session_silent is set.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
When no [routing] default is configured, default_preset fell back to
workflows[0]. If that was an LLM rewrite (e.g. "Improve text"), every
wakeword/voice command without a matching keyword was sent to the language
model — repeatedly failing with HTTP 502 when the LLM backend was down.
default_preset now prefers a transcribe-mode preset for the no-keyword
fallback, so the default action is plain transcription. Adds tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Reported issues from hands-free use:
- Wakeword WAVs didn't play: the new "Play audio cues" master switch
([sounds] enabled) also gated the hands-free Sound: detected/captured cues,
so enabled=false silenced them. The cues live in a separate UI section, so
this was surprising. Wakeword cues are now independent of that switch: they
play whenever a file is set, and an empty field means silent (no system-chime
fallback) — which is also how you turn a hands-free cue off. The master switch
now governs only the manual (keyboard) before/after chimes.
- Clarified the four sound fields' tooltips/labels (detected/captured = hands-free
only; before/after = manual only) and the empty-field behaviour.
- New "Silence to stop (s)" setting (Settings → Input → Hands-free, or
[wakeword] silence_seconds, default 2.0): user-defined trailing-silence
timeout for hands-free auto-stop (was hard-coded to 2.5 s).
- Add MANUAL.md documenting every setting in every tab; link it from the README.
Tests: cue independence + manual-gating + roundtrip (17 passed).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Two follow-ups from hands-free testing:
- Audio cues had no off-switch: empty sound fields fall back to the freedesktop
system chime, so wakeword/recording always made noise. Add a [sounds] enabled
master flag (default true) exposed as "Play audio cues" in Settings → Input.
When off, _play_cue/_play_sound are no-ops — fully silent operation.
- The VAD level meter (sounddevice/PortAudio) leaked harmless thread-teardown
errors ("pthread_join ... failed", "PaUnixThread_Terminate ... failed") to the
terminal on every clip end. PortAudio writes these straight to fd 2, so wrap
the stream open/close in a fd-level stderr suppressor (_quiet_c_stderr).
Tests: cue gating respects the master switch (16 passed).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Two optional WAVs in the Hands-free section: "Sound: detected" plays when the
wakeword fires (your cue to speak now) and "Sound: captured" plays when the
command is taken (silence/stop). For hands-free sessions these take precedence
over the general [sounds] cues, falling back to them and then to the built-in
system sound. The general cues are relabelled "Audio cues (manual dictation)".
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New sound.py plays a user WAV (or a built-in system sound) without blocking.
Config gains [sounds] before/after paths. The daemon plays the "before" cue when
recording starts and the "after" cue on every stop (stop+paste, stop+paste+Enter,
or auto-stop on silence — all funnel through finish_dictation). Input tab gets an
Audio cues section: file pickers with play-test and clear-to-default buttons.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Wayland support: text delivery using wtype or ydotool (paste.py)
- Testing: added Pytest coverage for routing, quality, and config logic
- CI/CD: added test-linux job to .github/workflows/ci.yml
- Feature: Hands-free dictation using an external wyoming-openwakeword
server, respecting the /tmp/wake_muted toggle.
- Local-Whisper Device + Compute type now live under the STT engine section
("Local engine — device & precision"), removed from the General tab. The
local engine's Model field shows the effective whisper size.
- LLM engines gain a Type field (local | cloud), mirroring STT, stored in config.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New GTK settings with a dropdown+editor pattern across four tabs:
- Presets: select/add/delete prompt presets; edit name, keywords, hotkey, mode,
per-preset model/temperature, and a clearly-bordered prompt textfield.
- Engines: STT and LLM engine managers with green/red online-offline status
dots, add/edit/delete, active selector, and an STT record-and-benchmark Test.
- Input: input scheme + keys + quality-gate settings.
- General: microphone picker with a live sounddevice level meter, output,
language, notifications, launch-on-login toggle, and local-Whisper settings.
Adds audio.py (mic enumeration via pactl + LevelMeter) and autostart.py
(~/.config/autostart entry). Recorder + daemon honour the selected mic.
Requirements gain sounddevice + tomli-w.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New quality.py: analyze the recorded WAV (duration + RMS, stdlib only) and drop
clips that are too short or too quiet before transcribing; after transcribing,
reject the stock phrases Whisper invents on silence ("Thank you.", "Untertitel
…", "Vielen Dank." etc.) on short clips. New [quality] config section
(min_speech_seconds, silence_rms, reject_hallucinations, strip_trailing_punctuation).
Tested: silence rms 38 rejected, speech rms 4656 passes.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New inputmode.py: Ctrl+Win start, Ctrl stop+paste, Alt stop+paste+Enter, Esc
cancel; toggle and push-to-talk variants. Low-level pynput Listener with arming
so stop/send/cancel only fire while recording and only after the start chord is
released — a stray Ctrl tap while idle does nothing (unit-tested).
Daemon split into start/finish/cancel_dictation (+ send_enter -> press Enter),
with start_input/stop_input dispatching between "modifiers" and "hotkeys" modes.
New [input] config section; paste.press_enter for auto-send. Default mode is
"modifiers"; voice-keyword routing still applies to what you say.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- stt.py: local + remote (OpenAI-compatible) transcription, TCP reachability
status, benchmark. Tested live against faster-whisper-server :8010.
- llm.py: LLM engine presets (url/model/key/temperature) + chat + status.
Tested live against local Qwen :19001 and llama-swap :28080.
- config: [stt]/[[stt_engine]] and [llm]/[[llm_engine]] presets with active
selectors; defaults synthesized from legacy [whisper]/[rewrite].
- daemon: transcribe via active STT engine, rewrite via active LLM engine;
load local Whisper only when the active STT engine is local.
- Rename package entry __main__.py -> blitztext.py (thin __main__ shim keeps
`python -m blitztext` working). Remove rewrite.py (folded into llm.py).
- App icon extracted from the macOS AppIcon.icns; installed at several hicolor
sizes by the .deb and used as the window icon. Drop placeholder SVG.
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>
