Submission by Catxi

PodChat transforms podcasts from "one-way listening" to "two-way dialogue"—upload an audio episode, and the system automatically identifies each speaker, clones each person's voice, builds a knowledge base, and generates a whole group of AI host avatars. In monologue podcasts, you can have one-on-one voice conversations with the host at any time; in multi-person podcasts, you can enter group chat mode, ask questions to all members or @ a specific guest for follow-up questions, and each AI character responds to you with their own realistic voice. The product is almost entirely built on ElevenLabs: Speaker Diarization separates speakers, Instant Voice Cloning clones each character, Voice Design API automatically analyzes each person's emotional style based on scripts to generate tuning parameters, Conversational AI WebSocket supports real-time voice calls, and Text-to-Speech drives quick summary reading with emotion switching—one API key runs the entire chain from recognition and cloning to dialogue; the application is deployed on Replit, requiring zero registration, and all data is stored locally in the browser; Firecrawl supplements the knowledge base by crawling web content mentioned in podcasts. Existing podcast AI tools are limited to transcription and summarization, while PodChat allows you to chat with the "host" in person anytime, transforming one-way content consumption into a multi-role, interactive experience with follow-up questions.