This is a demo of Fish Audio's text-to-speech tool using a scripted monologue in Uncle Roger's voice — a character known for critiquing improper cooking techniques. The page lets you generate audio from custom text and adjust playback speed and volume.

• Fish Audio offers a text-to-speech platform with character voice models, demonstrated here with the "Uncle Roger" persona
• The tool includes basic audio controls: volume adjustment, playback speed (1x shown), and character selection via model ID
• Users can input custom text (up to 500 characters) and generate dramatic audio with emotional direction tags like [horrified] and <slow> for pacing

Fish Audio’s open-source voice-generation models now serve over 8 million users and deliver $21 million in ARR. The startup secured $52 million in seed funding to expand its expressive, steerable voice APIs for both creators and enterprises, while streamlining takedowns after consent disputes. It plans to launch new audio-understanding and speech-to-speech models later this year.

• Fish Audio raised $52M in seed funding while already generating $21M ARR from 8 million users—unusually mature metrics for a seed-stage company.
• The startup automated voice takedowns (under 3 minutes via sample or contract) after facing unauthorized upload disputes, betting that consent and fair licensing build trust with creators.
• Its open-source Fish Speech release hit 31,000+ GitHub stars, but the newest S2.1 Pro model is locked behind a paid API, marking a shift from open-source to monetized enterprise offerings.
• It plans to expand into audio-understanding and speech-to-speech models to compete with ElevenLabs, WellSaid, and Speechify on fine-grained control and cheaper training costs.