- notify-send notifications are now transient (boolean:transient:true) with a
2.5s expiry, so they no longer pile up in the message tray / lock screen.
- Single-instance guard (abstract unix socket) in the entry point: a second
`tray`/`gui`/`run` launch exits instead of starting a duplicate daemon — the
duplicate caused two wakeword listeners + two recorders.
- Empty/quiet/keyword-only results now only log, instead of firing a desktop
notification on every (often false) wakeword trigger.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add Screenshots/ (panel + settings tabs: engines, input, general, benchmark,
about) for documentation, and pyrightconfig.json pointing the type checker at
the system dist-packages so it resolves PyGObject (gi).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a plain-language info box to the top of every Settings tab (Presets,
Engines, Input, General, Benchmark, Log, About), exposed to screen readers, and
tooltips (wired to ATK descriptions) on the preset, general, and input-mode
controls — for non-technical and blind users (barrierefrei).
Complete the unreleased 1.2.0 changelog with the engine manager, Benchmark tab,
custom audio cues, Log tab, click-to-bind hotkeys, the GTK rebuild, voice
routing, the modifier hotkey scheme, and the quality gate.
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.
install-linux.sh: standalone script that clones from GitHub, builds
the .deb, installs it with apt, and cleans up. Works on any
Ubuntu/Debian machine with a single curl command.
README: add the one-liner as the primary install option (Option A).
- README.md: full rewrite with architecture, quickstart, config examples,
privacy model, and contributing section (deduced from source)
- recorder.py: close leaked fd from mkstemp (SEC-2)
- gtkui.py: guard next() with default to prevent StopIteration (CQ-4)
- dependabot.yml: add pip ecosystem for linux/ deps (SEC-5)
- 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 benchmark.py: word-error-rate accuracy + a run() that times each STT engine
on a reference clip. Settings gains a Benchmark tab: pick a .wav and a matching
.txt, run all STT engines, see Time + Accuracy per engine and a summary of the
fastest and most accurate. Add presets for each model you want compared.
Fix "Local engine selected but the model isn't loaded." on Test: a cached
_transcriber_for() loads the local model on demand (the daemon only preloads it
when a local engine is active). Tested: local small 2.17s/100% vs remote :8010.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Both STT and LLM engine editors gain a Name field (first field). Editing it
renames the engine and updates the dropdown on commit; Save persists it. Fixes
the inability to rename "New STT"/"New LLM" after Add.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- 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 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>
Replace the model combo with a ModelPicker: an editable field plus a ▾ button
that opens a popover with a SearchEntry on top and a scrollable, filtered list
of models (HuggingFace-style). Add a refresh icon next to each engine URL that
loads models from {url}/models on demand. Verified: 8010 -> 428 models, typing
"turbo" filters to the turbo variants. You can still type a custom model name.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Each key field (Start/Stop+paste/Stop+paste+Enter/Cancel, and the preset
Hotkey) gets a Set button that captures the next keypress and writes it in the
config format. Captures modifier-only chords (e.g. Ctrl+Win -> <ctrl>+<cmd>) by
accumulating pressed keys and finalising on first release; key events are
swallowed while binding so they don't leak into the UI. Tested: token mapping,
combo formatting, and the bind flow.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The engine Model field is now an editable combo with a type-to-search
EntryCompletion (substring match). When you enter a remote engine URL it fetches
the model list from {url}/models (OpenAI `data[].id` or Ollama `models[].name`)
and fills the dropdown; local STT offers the whisper sizes. stt.list_models
added; tested live (8010 -> 428 models, 28080 -> 18, 19001 -> 1). You can still
type a custom model name.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
set_placeholder_text on the preset and engine entries (URL, model, API key env,
keywords, hotkey, temperature, language) so empty fields show light-grey
examples of what to enter.
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>
Replace the tkinter panel with a GTK3 control panel (gtkui.py) + settings
dialog (gtksettings.py): rounded CSD window, gradient background, circular icon
avatars, hotkey pills, hover states, Ubuntu font. Runs on the GTK main loop,
unified with the AppIndicator tray (no tkinter event-loop pump). Status updates
marshalled via GLib.idle_add. Removes the old tkinter gui.py.
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>
Minimal flat design with the Ubuntu font: clickable workflow rows with hover
(click to record/stop), muted descriptions and hotkey hints, subtle dividers,
and text-style Settings/Quit. Drops monogram avatars and per-row buttons.
Settings window restyled to match.
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>
