Bark

Bark, by Suno, is an open-source generative audio model that goes beyond standard text-to-speech: it generates not just spoken words but laughter, sighs, hesitations, music snippets and sound effects — audio that behaves less like a robot reading and more like a performance.

Unlike conventional TTS that converts text phoneme-by-phoneme, Bark is a fully generative model: give it text (including cues like [laughs] or ♪ for singing) and it produces expressive audio in multiple languages, with a variety of preset voices. Being open source, it's free to run locally or in notebooks, modify, and build into applications — a research-grade capability in public hands.

Strengths: expressiveness no classic TTS matches (nonverbal sounds, emotional coloring), true multilingual generation, zero cost, and full local control for developers. Weaknesses: output is less controllable and less consistently polished than commercial services like ElevenLabs — generations vary, longer texts need chunking, and it requires technical comfort (Python, a decent GPU) rather than offering a friendly web app. Voice cloning is deliberately restricted for safety.

Who it's for: developers, researchers and tinkerers building audio features who want open-source freedom — and anyone curious what generative audio can do beyond reading text aloud.