ChatTTS vs Riverside

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.

Riverside is a video editing and recording platform built for remote podcasts, interviews, and webinars. It records up to 4K video and uncompressed audio locally on each participant's device, so spotty internet does not tank quality. After recording, you edit in a text-based timeline, generate Magic Clips, captions, and show notes, then publish to YouTube, Spotify, and Apple Podcasts from the same workflow.

Zoom and Google Meet optimize for live calls, not post-production. Riverside records separate tracks locally, then layers AI cleanup, filler-word removal, and clip generation on top. The trade-off is that it is built for creators who publish regularly, not for one-off internal meetings that never leave the call app.

Podcasters, marketers, and producers at companies like Spotify and The New York Times use Riverside for studio-style remote recordings. Founded in 2020 by brothers Gideon and Nadav, the product now lives at riverside.com while riverside.fm redirects to the same experience.