ChatTTS vs Async (formerly Podcastle)

ChatTTS is an open-source text-to-speech model built for dialogue. The 2Noise team trained it on over 100,000 hours of Chinese and English speech so it sounds natural in back-and-forth conversation, not just scripted narration.

What sets it apart is prosody control at a granular level. The model can layer in laughter, pauses, and interjections, and it handles multiple speakers in a single session. That makes it a fit for LLM assistants, conversational audio, and dialogue-heavy multimedia.

Developers install it via pip or clone the GitHub repo. The open-source release on Hugging Face is a 40,000-hour base model under AGPLv3+. The team positions it for research and dialogue use cases, with contact at [email protected] for roadmap questions.

Async lets you record, edit, and republish audio and video by chatting with AI instead of dragging clips on a timeline. You can capture remote podcasts, generate footage from prompts, clean up audio, add subtitles, dub content, and turn long recordings into social clips inside one browser workflow.

Where most editors split recording, transcription, and clip creation across separate apps, Async bundles them behind a chat interface called Bumblebee. You upload footage or start from a template, tell Async what to cut or generate, and it handles pacing, captions, and export. The platform also lists 100+ generative models for video, image, music, and voice, including Kling, Veo, Sora, and GPT Image 2.

The free plan includes 10 lifetime AI credits and 1 hour of media uploads, enough to test the chat editor before upgrading. Paid tiers add monthly credit pools (450 on Essentials, 1,200 on Pro, 3,000 on Teams) that meter video generation, dubbing, and other AI actions. Annual billing saves up to 40%.

Podcasters, video creators, marketing teams, and social media managers who want recording, editing, and repurposing in one place without learning traditional NLE software are the target audience. An iOS app is available, and remote recording supports up to 10 participants per session.