From prompt to podcast, effortlessly.

Ellipsis: AI-Powered Podcast Generation

Inspiration

As avid podcast listeners, we’ve always appreciated how engaging and immersive the medium can be. However, we also recognized the barriers that come with creating high-quality podcasts—extensive research, scripting, recording, and editing all demand significant time and expertise. With Ellipsis, our goal was to democratize podcast creation by enabling anyone to generate studio-quality audio content on any topic with just a click. By combining the power of large language models with realistic voice synthesis, we set out to make podcasting as effortless and accessible as blogging.

What it does

Ellipsis is an AI-powered podcast generation agent that produces fully automated, high-quality audio episodes featuring realistic multi-speaker conversations on virtually any topic.

Users simply enter a topic, and Ellipsis takes care of the entire production pipeline—conducting research, generating a dynamic script, narrating it with distinct voices, and producing polished audio output.

What sets Ellipsis apart is its rigorous evaluation system. Before finalizing an episode, the script goes through three rounds of review by a panel of five specialized AI agents:

The Scientist – checks for factual accuracy and scientific coherence
The Author – assesses narrative flow and language quality
The Critic – evaluates storytelling and engagement
The Psychologist – flags potential ethical or psychological concerns
The General Public – judges relatability and clarity for a broad audience

After passing this multi-agent review, the content is converted into natural-sounding multi-speaker audio and even generates the script.

How we built it

We combined several powerful technologies to bring Ellipsis to life:

Backend: Python + Flask with Redis pub/sub for real-time communication. LLM inference uses llama.cpp for efficient local execution.
Audio: Human-like, multi-speaker audio generated via Orpheus TTS, using distinct voice embeddings for variety.
Frontend: Built with React, Vite, and Tailwind CSS. Uses Server-Sent Events (SSE) for real-time script/audio progress.
APIs: Integrated with Perplexity for research and Podbean MCP for podcast publishing.
Evaluation Pipeline: Custom agents and logic to verify factual accuracy, conversational quality, and ethical soundness.

Challenges we ran into

Multi-speaker coordination: Making conversations feel natural and fluid required careful speaker turn modeling and pacing.
Audio quality control: Ensuring consistent quality across varied voices demanded tuning of TTS parameters and voice caching.
SSE sync issues: Handling real-time updates using Redis and EventSource introduced timing and reactivity challenges.
Evaluation bottlenecks: Balancing thorough evaluation with performance was complex and required several optimization passes.

Accomplishments that we're proud of

Generating realistic, unscripted-sounding conversations between multiple AI voices.
Successfully building a factual and ethical validation engine—a rare feature in AI content generation tools.
Delivering an end-to-end automated pipeline, from topic input to podcast publishing, with no manual intervention.
Designing a real-time, intuitive frontend with clear progress tracking.

What we learned

Small UX features like speaker labels and live progress indicators significantly boost user trust and experience.
Coordinating multiple AI modules (LLM, TTS, evaluators) requires thoughtful orchestration for quality and performance.
Legal and ethical evaluations need to be both context-aware and lightweight, which took careful prompt design and testing.

What's next for Ellipsis

Document & Video Support: Accept inputs like PDFs, URLs, or YouTube videos and generate podcast-style summaries.
Voice Cloning: Let users generate episodes in their own voice or select from a library of custom personalities.
Multilingual Output: Support podcast generation in multiple languages with culturally relevant tone and voice adaptation.
Collaborative Mode: Enable multiple users to co-create episodes, managing speakers, tone, and flow together.
Subscription & Analytics Dashboard: Give creators tools to track listens, analyze trends, and publish seamlessly.
MCP Integration: Deeper integration with our MCP server for uploading content and retrieving performance metrics—all via a single prompt.