Parler-TTS
Apache-2.0Describe the voice in natural language ('soft female, fast, clear')
Parler-TTS, from Hugging Face's audio team, takes a different approach: instead of cloning a reference, you describe the speaker in text — "a calm female voice with a slight British accent, speaking slowly" — and it synthesizes that voice. Fully open training code and data recipes.
Hear Parler-TTS
Parler-TTS · Clear female, calm · Same three scripts across the directory.
Best for: Describe the voice in natural language ('soft female, fast, clear')
Permissive model license: This decision covers the named Mini v1 checkpoint and official code. Preserve Apache notices and check any replacement checkpoint separately.
Code: Apache-2.0. Weights: Apache-2.0 (parler-tts-mini-v1). License sources checked 2026-09-20. Source 1Source 2Source 3
Before you choose: Compare the samples with your own use case. Check the linked documentation for code, weight, and voice license terms.
Details awaiting a fresh review. Hardware figures are estimates unless a benchmark is linked.
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Voices
5 voicesThe scripts
Run Parler-TTS
pip install parler-ttsSources & setup details
Parler-TTS FAQ
Do I need a GPU to run Parler-TTS?
The directory lists roughly 6 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.
Can Parler-TTS clone voices?
No — Parler-TTS uses preset voices. Browse the voice-cloning category for models that clone from reference audio.
What license is Parler-TTS released under?
Parler-TTS is released under the Apache-2.0 license. Always check the repository for the exact terms — some models license code and weights separately.
What languages does Parler-TTS support?
Parler-TTS supports English.
Is there a hosted Parler-TTS API?
Yes. OpenSpeech Cloud offers Parler-TTS in its paid English preset-voice studio and API, using prepaid credits. See the Cloud documentation for current availability.