All models
dialogue

SoulX-Podcast

Apache-2.0

Multi-speaker podcast dialogue with dialect support

SoulX-Podcast, built on Qwen3 by Soul AI Lab, generates multi-speaker, multi-turn podcast dialogue in a single pass, complete with paralinguistics like laughter. It supports cross-dialect voice cloning across Sichuanese, Henanese, and Cantonese alongside standard Mandarin and English.

Hear SoulX-Podcast

Standardized samples are pending for this release. See the official sources below for the author’s demo.

SoulX-Podcast · Speaker 1 · Same three scripts across the directory.

Best for: Multi-speaker podcast dialogue with dialect support

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.

Compare with similar

Compare all →

Choose an alternative to hear both models together.

No samples yet

Every model in this directory is read against the same three scripts so voices can be compared honestly — SoulX-Podcast’s samples just haven’t been generated yet.

Contribute samples on GitHub →

Run SoulX-Podcast

git clone https://github.com/Soul-AILab/SoulX-Podcast

Sources & setup details

SoulX-Podcast FAQ

Do I need a GPU to run SoulX-Podcast?

The directory lists roughly 8 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.

Can SoulX-Podcast clone voices?

Yes — SoulX-Podcast supports voice cloning from reference audio.

What license is SoulX-Podcast released under?

SoulX-Podcast 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 SoulX-Podcast support?

SoulX-Podcast supports Chinese, English.

Is there a hosted SoulX-Podcast API?

OpenSpeech Cloud is accepting production-access interest for SoulX-Podcast, but this model is not hosted in the beta. Use the official repository for current deployment options.