Fish Audio raises $52M seed to build AI voice models

Fish Audio emerged from founder Shijia Liao's frustration with non-expressive synthetic voices available on the market. Building a voice generation model on a single GPU as a small project, Liao open-sourced the work, creating the Fish Speech repository on GitHub, which now has more than 31,000 stars. This community-first approach attracted indie developers, video game designers, and creators, eventually scaling to over 8 million users and $21 million in annual recurring revenue.

The startup's library of more than 15,000 natural language controls addresses distinct market needs: creators require expressive voices for narrative content, while enterprises need steerable models for automated customer support and sales operations. Fish Audio serves both segments through tiered offerings—monthly paid plans with generation minutes and voice cloning for creators, and enterprise APIs for organizations like HeyGen (which powers AI avatars) and Sanas.

Growing scale and enterprise demand prompted the $52 million seed round. Investors emphasized that Fish Audio's technical capability to produce state-of-the-art models with fine-grained developer controls and cost-efficient training differentiates it in a crowded field that includes ElevenLabs, WellSaid, Cartesia, and others. However, the community-driven model—built on user-submitted voices for training—created friction: some creators alleged unauthorized voice uploads. The automated takedown process (now under three minutes) addresses immediate removal but does not prevent initial upload without consent; it operates as a retroactive tool rather than a consent layer.