The AI agent automates the process of turning written academic content into audio podcasts. Users can input research papers, and the tool will generate a podcast script, including summaries, key insights, and a narration of the content. This helps authors share their work with a broader audience, promoting knowledge dissemination and improving engagement with complex topics.

MyArxivPodcast orchestrates an end-to-end AI pipeline to transform scholarly content into engaging audio shows. First, it polls arXiv APIs for new research submissions in user-defined categories and retrieves metadata and abstracts. Next, it invokes OpenAI's GPT-4 model to craft clear and concise summaries, highlighting key contributions and results. Summaries are fed into a TTS engine such as Amazon Polly or Google Cloud Text-to-Speech, producing natural-sounding narration. The agent automatically tags and organizes the generated audio, compiles episodes, updates an RSS feed, and handles file hosting integration. Advanced settings allow custom voice selection, summary length control, publication schedules, and distribution via popular podcast platforms, providing researchers and listeners with seamless, up-to-date scientific audio briefings.

Relaied is an AI-powered platform that converts your documents into engaging podcasts. It brings academic papers, textbooks, articles, lecture notes, and many other learning materials to life through conversational podcasts delivered by expert AI hosts. Relaied makes learning more accessible and engaging by providing daily podcasts, summaries, and quizzes. Users can upload files, paste links, or select from various databases like arXiv to create personalized podcasts. Perfect for continuous learning, Relaied democratizes education and provides free access to high-quality learning content.