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Bark

Text-to-audio model that generates speech, music, and sound effects from text prompts.

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Stars
39.3k
Forks
4.7k
Licence
MIT
Language
Jupyter Notebook
Last update
2.2 years ago
Type
AI model / agent

No commits in over a year — check for forks or alternatives before adopting.

What it is

Bark is a transformer-based model from Suno that turns written text into audio. It can produce multilingual speech, music, background noise, simple sound effects, and nonverbal sounds like laughing or sighing. The project provides pretrained checkpoints that the README says are available for commercial use under the MIT License.

  • Generate a spoken line from text and save it as a WAV file using the Python API
  • Create short music or lyric snippets by wrapping lyrics in music note symbols
  • Pick a speaker preset such as v2/en_speaker_1 to get a consistent voice
  • Produce long-form audio by following the project's long-form generation notebook
  • Run text-to-audio generation from the command line with python -m bark

Great for

  • Developers who want to add text-to-speech or sound generation to a Python project
  • Researchers studying generative audio models
  • Creators who want expressive, non-robotic voice clips and are fine with unpredictable results
  • People experimenting with multilingual speech output
  • Users with a GPU who want to try generated audio locally

Not ideal for

  • Anyone needing precise, predictable narration: the README says it is a fully generative model that can deviate from prompts in unexpected ways
  • Users who need custom voice cloning: the README states it does not currently support it
  • Users needing top quality in every language: the README says English quality is best for now
  • People who want a simple no-code app: the README describes a Python library and command line usage
Step-by-step guide: how to use BarkInstall, first run, examples, tips and FAQs
Bark vs GPT-SoVITSBark vs ChatterboxAudioCraft vs BarkBark vs F5-TTSAmphion vs Bark

How to get it

  1. 1

    Install with a package manager

    You'll need: Python · pip · Git

    Install from GitHub (recommended; do not use plain pip install bark)

    pip install git+https://github.com/suno-ai/bark.git

    Alternative: clone and install locally

    git clone https://github.com/suno-ai/bark

    Install from the cloned folder

    cd bark && pip install .
  2. 2

    Run it

    • Install the package using one of the pip commands above
    • Run the Python basics example: import generate_audio and preload_models from bark
    • Call preload_models() once to download and load the model files
    • Call generate_audio with a text prompt and save the result with write_wav
    • Or try the command line: python -m bark --text "Hello, my name is Suno." --output_filename "example.wav"
  3. 3

    Get the most out of it

    • Wrap lyrics in ♪ symbols to encourage music generation
    • Browse the voice preset library and use history_prompt to keep a consistent speaker
    • Follow the long-form generation notebook for audio longer than about 13 seconds
    • Use the smaller model option mentioned in the updates if you need speed over quality, or the low-VRAM option if your GPU has under 4GB
    • Try the Hugging Face Transformers route with AutoProcessor and BarkModel if you already use that library

Downloads

Source code (.zip)main branch · straight from GitHub

Strengths

  • Produces expressive speech with nonverbal sounds like laughing and sighing, according to the README
  • Pretrained checkpoints are MIT-licensed and documented as available for commercial use
  • Supports 100+ speaker presets and multiple languages, with Hugging Face Transformers integration

Trade-offs

  • Outputs are not deterministic and can drift from the prompt, as the README's disclaimer notes
  • Default generation works best with about 13 seconds of spoken text, so longer audio needs extra steps
  • The README says it was developed for research purposes and Suno takes no responsibility for outputs

How it compares

ProjectStarsTypeLevelUpdatedBest for
bark (this)39.3kAI model / agentintermediate2.2 years agoDevelopers who want to add text-to-speech or sound generation to a Python project
piper11.3kAppintermediate1.2 years agoDevelopers who want offline speech output in a local app or home automation setup

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.