MorgoTTalk

Push-to-talk voice transcription for your desktop. One portable binary, fully offline, GPU accelerated.

Press a hotkey, speak, release — your speech appears as text in any application. No cloud, no API keys, no internet required.

Features

• Push-to-talk — hold or toggle a global hotkey to record, text is typed automatically on release
• Preset system — multiple profiles with different models, hotkeys, languages, and input modes
• GPU acceleration — CUDA (NVIDIA), Vulkan, Metal (macOS), ROCm (AMD), OpenCL — auto-detected with one-click install
• Offline — everything runs locally via whisper.cpp, no data leaves your machine
• Cross-platform — Linux, macOS, Windows
• Text output — types directly into any focused app, or pastes via clipboard
• Auto language — detects your keyboard layout and selects transcription language automatically
• Model manager — download whisper models from HuggingFace directly in the app
• History — searchable log of all transcriptions
• 9 UI languages — English, Russian, German, Spanish, French, Chinese, Japanese, Portuguese, Korean
• System tray — minimize to tray, keep listening in the background
• Dark & light themes

Install

One-liner (Linux / macOS)

curl -fsSL https://raw.githubusercontent.com/UberMorgott/morgottalk/main/install.sh | bash

This will automatically:

• Install system dependencies (Linux: webkit2gtk, gtk3)
• Download the latest release for your platform
• Install to /usr/local/bin (may ask for password)
• Create a desktop entry (Linux)

After install, just run morgottalk from anywhere.

Manual download

Download the binary for your platform from Releases:

curl -Lo morgottalk https://github.com/UberMorgott/morgottalk/releases/latest/download/morgottalk-linux-amd64
chmod +x morgottalk && ./morgottalk

sudo pacman -S webkit2gtk-4.1 gtk3

sudo apt install libwebkit2gtk-4.1-dev libgtk-3-dev

sudo dnf install webkit2gtk4.1-devel gtk3-devel

curl -Lo morgottalk https://github.com/UberMorgott/morgottalk/releases/latest/download/morgottalk-macos-arm64
chmod +x morgottalk && ./morgottalk

Invoke-WebRequest -Uri "https://github.com/UberMorgott/morgottalk/releases/latest/download/morgottalk-windows-amd64.exe" -OutFile "morgottalk.exe"

.\morgottalk.exe

First launch

1. Open Settings and download a model (recommended: base-q5_1 for fast, large-v3-turbo-q8_0 for accuracy).
2. Create a preset, set a hotkey, enable it — done.

GPU Acceleration

MorgoTTalk automatically detects available GPU backends. Open Settings to see which backends are available on your system:

Grey backends can be installed with one click from the Settings panel.

Note: The pre-built Linux binary includes CUDA support. For other GPU backends, build from source with the appropriate tags.

Build from Source

Prerequisites

• Go 1.22+
• Node.js 18+
• GCC / Clang (C/C++ compiler)
• Wails v3 CLI: go install github.com/wailsapp/wails/v3/cmd/wails3@latest
• cmake
• Linux: webkit2gtk-4.1, gtk3 development packages
• macOS: Xcode Command Line Tools
• Windows: MSVC or MinGW, WebView2 runtime

Build

# 1. Clone with submodules
git clone --recurse-submodules https://github.com/UberMorgott/morgottalk.git
cd morgottalk

# 2. Build whisper.cpp (one-time)
cmake -S third_party/whisper.cpp -B third_party/whisper.cpp/build_go \
  -DBUILD_SHARED_LIBS=OFF
cmake --build third_party/whisper.cpp/build_go

# For NVIDIA GPU acceleration, add:
#   -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES="60;70;75;80;86;89;90;100;120"
# For Vulkan: -DGGML_VULKAN=ON

# 3. Build frontend
cd frontend && npm install && npm run build && cd ..

# 4. Generate bindings
wails3 generate bindings

# 5. Build binary
CGO_ENABLED=1 go build -o morgottalk .

# With GPU tags:
# CGO_ENABLED=1 go build -tags cuda -o morgottalk .
# CGO_ENABLED=1 go build -tags vulkan -o morgottalk .
# CGO_ENABLED=1 go build -tags "cuda vulkan" -o morgottalk .

How It Works

1. You assign a global hotkey to a preset (e.g., Ctrl, Ctrl+Shift+F1, etc.)
2. Hold mode: hold the hotkey to record, release to transcribe
3. Toggle mode: press once to start, press again to stop
4. Audio is captured at 16kHz mono, chunked into 25-second segments
5. whisper.cpp transcribes each chunk (on GPU if available)
6. Result is typed into the currently focused application via system text input

Text Input Methods

If direct typing fails, text is copied to clipboard automatically.

Uninstall

# Remove binary
sudo rm /usr/local/bin/morgottalk

# Remove desktop entry
rm ~/.local/share/applications/morgottalk.desktop

# Remove config and history
rm -rf ~/.config/transcribation

# Remove downloaded models
rm -rf ~/.local/share/transcribation

# Remove binary
sudo rm /usr/local/bin/morgottalk

# Remove config, history, and models
rm -rf ~/Library/Application\ Support/transcribation

# Remove binary (wherever you saved it)
Remove-Item morgottalk.exe

# Remove config, history, and models
Remove-Item -Recurse "$env:APPDATA\transcribation"

License

MIT