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>
