LibreAI / Audio / nvidia-broadcast-linux
// audio · Hkshoonya/nvidia-broadcast-linux

nvidia-broadcast-linux

NVIDIA Broadcast-style AI effects for Linux and macOS.

💎 Hidden gem★ 182 stars⑂ 18 forksNOASSERTIONupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

nvidia-broadcast-linux is an open-source audio project by Hkshoonya (Hkshoonya/nvidia-broadcast-linux on GitHub). It has 182 GitHub stars and 18 forks, is released under the NOASSERTION license, and was last updated on GitHub on 2 October 2026.

GitHub stars
182
Forks
18
License
NOASSERTION
Last updated on GitHub
2 October 2026
Category
Audio
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// features

Why people love it

GPU acceleration

Uses CUDA for fast GPU-backed inference.

Multiple formats

Handles MP3, WAV, and common audio formats.

Streaming support

Real-time transcription as audio arrives.

Open source

Adapt the pipeline to your audio needs.

Speech-to-text

Accurate transcription from audio files or mic.

Noise removal

Cleans up background noise automatically.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/Hkshoonya/nvidia-broadcast-linux.git
    cd nvidia-broadcast-linux
  2. Step 2 — Install dependencies

    Create a virtual environment and install the requirements.

    python3 -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
  3. Step 3 — Run it

    Start the app or CLI and follow the README examples.

    python main.py --help
// use cases

What you can build

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// faq

Questions, answered

Who maintains nvidia-broadcast-linux?

It is an open-source project at Hkshoonya/nvidia-broadcast-linux with 18 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is nvidia-broadcast-linux free to use?

GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.

What audio formats work?

MP3, WAV, and most common formats are supported.

Does it need a GPU?

It helps a lot for transcription speed, but CPU mode works too.

Can it handle multiple speakers?

Tools with diarization label who said what.

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// alternatives

Alternatives in Audio

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if nvidia-broadcast-linux is not the right fit.

Get nvidia-broadcast-linux

Free and open — grab the source, star the repo, and start creating.