// getting-started

Activate LiveAudio in four real steps.

Install the app (or run from source with uv), let the first run provision Python, deps and models, let LiveAudio auto-detect your GPU, then pick a profile and START SYSTEM. Internet is needed only on the first run; after that it is 100% local.

ACTIVATION SEQUENCE

  1. // get

    Get LiveAudio — installer or source.

    Most people just download and run. Two real paths: the graphical installer (recommended), or running from source with uv if you are a developer.

    Linux: needs libportaudio2

    // installer

    Installer (recommended)

    Windows: download LiveAudio-Setup-1.2.0.exe and run it. Linux: download the tarball, extract it, and run ./liveaudio-launcher. No Python to install — the app provisions its own Python 3.11.

    linux x86_64
    # Linux: extract and launch
    tar -xzf LiveAudio-1.2.0-linux-x64.tar.gz
    ./liveaudio-launcher
    

    Windows: not code-signed

    // source

    Run from source (uv)

    Clone the repo and let uv create the environment. Choose exactly one torch extra: --extra cpu for CPU, or --extra cu121 for NVIDIA CUDA. Then run liveaudio.

    uv · developers
    git clone https://github.com/plynte-labs/LiveAudio.git
    cd LiveAudio
    # pick exactly one torch extra:
    uv sync --extra cpu
    uv sync --extra cu121
    uv run liveaudio
    

    Linux needs libportaudio2 (sudo apt install libportaudio2).

  2. // first-run

    First run provisions everything.

    The first launch downloads Python, dependencies and models, then caches them. Plan for roughly 400 MB on CPU or 2.5 GB on CUDA. Models download on first transcription. Every later start is instant and fully offline.

    First run: internet required

    Footprint: ~400 MB (CPU) / ~2.5 GB (CUDA). After that, fully offline. Portable mode: drop an empty portable.marker next to the launcher to keep everything in a local data/ folder.

  3. // detect

    LiveAudio auto-detects your GPU.

    A GPU is optional — the CPU works. On launch, LiveAudio checks for a usable NVIDIA CUDA GPU and falls back to CPU automatically. You can always override the choice.

    • CUDA NVIDIA driver ≥ 525 and VRAM ≥ 4 GiB → CUDA is used.
    • CPU No usable GPU → CPU is used automatically. No setup needed.
    • override You can force CPU or CUDA yourself before starting.

    GPU optional; CPU works. CUDA needs driver ≥ 525, VRAM ≥ 4 GiB.

  4. // go

    Pick a profile, then START SYSTEM.

    Choose an FPS-aware profile, pick your audio device and CPU/CUDA + model, click Apply changes, then START SYSTEM. Speak — captions appear and stream to OBS over the local WebSocket.

    • Fast low latency
    • Balanced recommended
    • Quality higher accuracy, more VRAM
    • Stable Streaming reduces GPU load while gaming

    Editing a built-in profile creates a Custom one. Apply changes to activate.

// download

Have the app yet?

Free & open-source (MIT). No subscription, no API key. You only pay your own electricity — hardware not included.

Download LiveAudio v1.2.0 (free)
v1.2.0 Detecting OS…
Download LiveAudio v1.2.0 (free)