studio-dots-ai/dots.tts

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1275 stars · 130 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

dots.tts is a 2B-parameter fully continuous, end-to-end autoregressive text-to-speech system, distributed as a Python library with pretrained checkpoints on Hugging Face. It combines a semantic encoder, an LLM backbone, and a flow-matching acoustic head over a 48 kHz AudioVAE, achieving open-source state-of-the-art results on Seed-TTS-Eval and multilingual speaker-similarity benchmarks, with a companion dots.tts.edit model for instruction-controlled speech editing.

Use cases

• convert text into natural sounding speech from python
• clone a voice from a short reference audio sample
• generate multilingual speech across 24 languages
• synthesize emotional and expressive speech
• edit or rewrite spoken words in an existing recording via text instructions
• run high-fidelity 48 kHz speech synthesis locally on a gpu

When to choose

• you need state-of-the-art open-source TTS with strong speaker similarity and low word error rates
• you want voice cloning and emotional expressiveness in a single autoregressive model
• you require high-fidelity 48 kHz output or instruction-controlled speech editing
• you want a pip-installable library with published checkpoints and benchmark-backed quality

When to avoid

• you need an ultra-light on-device TTS for embedded or CPU-only hardware, since the 2B-parameter model is compute heavy
• you only need a simple rule-based screen-reader voice with minimal resources
• you need a managed cloud TTS API rather than running model inference yourself

Facets

library · maturity active

tts machine-learning deep-learning audio-processing speech-processing artificial-intelligence deep-learning machine-learning python cross-platform text-to-speech speech-synthesis voice-cloning autoregressive flow-matching diffusion speech-editing multilingual-tts 48khz-audio meanflow huggingface-checkpoints gpu

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