tools
Bark TTS Review 2026 — Open-Source Expressive Voice with Laughter and Music
Bark by Suno AI generates speech with laughter, sighs, music, and emotion using text tokens. The most expressive open-source TTS in 2026. Free, MIT license.
Bark is a transformer-based text-to-audio model from Suno. It runs locally from Python or the command line and can generate speech, music, ambient audio, simple sound effects, laughter, sighs, and cries from text prompts.
It supports multiple languages and more than 100 speaker presets. Bark is intended for research and demonstrations, may deviate from prompts, generally produces about 13 seconds of audio by default, and does not support custom voice cloning. Suno provides the code and checkpoints under the MIT License; running it requires suitable local hardware or a third-party hosted service.
Features
- Generates speech, music, background noise, and simple sound effects from text
- Produces nonverbal sounds such as laughter, sighs, cries, and gasps
- Supports multiple languages with automatic language detection
- Includes 100+ speaker presets across supported languages
- Supports long-form generation through a provided notebook
- Runs with Python, Transformers, or the command line
- MIT License permits commercial use
- Supports CPU and GPU inference with smaller model options
Use cases
- Create spoken audio from text prompts
- Generate multilingual narration with preset voices
- Prototype sound effects and ambient audio
- Produce short musical or lyrical audio samples
- Experiment with generative audio in research notebooks
- Run local text-to-audio inference in applications