Omni Podcast is an AI-powered podcast generator that transforms almost any kind of written or online content into natural, human-sounding audio conversations. It is designed for educators, content creators, and teams who want to repurpose articles, research, or videos into engaging podcasts quickly, without needing recording studios, microphones, or editing experience. At its core, Omni Podcast converts text, URLs, YouTube links, and PDFs into podcast-ready dialogue using advanced multi-speaker AI voices. Instead of producing flat, robotic narration, it focuses on expressive delivery with realistic emotions, pauses, and inflections, making the final episodes feel like real human discussions. This makes it suitable for learning, entertainment, and turning long-form material into content that is easier to consume while commuting, exercising, or multitasking. The platform supports multiple input formats so users can bring in content from many different sources. You can upload research papers, ebooks, or reports as PDF files, paste raw text, or simply drop in a link to a blog post, news article, tutorial, documentation page, or YouTube video. Omni Podcast then processes this material and converts it into a structured podcast script, ready to be voiced by AI speakers. One of the standout features is its support for multi-speaker episodes and voice cloning. Users can choose from a built-in library of AI voices or upload 30–45 seconds of clean audio to clone their own voice or a custom voice for branding. Once a voice is cloned, it can be reused across episodes and even across different languages, enabling consistent identity and tone in large podcast series. Omni Podcast is built to work globally, with support for more than 50 languages. A single cloned voice can be applied in multiple languages, which helps creators reach international audiences without needing separate voice actors for each locale. Alongside language, users can adjust tone and pacing to better match educational, conversational, or entertainment-focused content. The workflow is kept intentionally simple, following four main steps from content to finished podcast. First, the user uploads or pastes their content source, whether that is a PDF, URL, text, or YouTube link. Next, they pick one or more voices, select language and style, and optionally clone a custom voice with a short audio sample. Then, they can fine-tune the script and conversation style, adding background music or adjusting how the dialogue flows. Finally, the platform generates a professional-quality podcast in minutes, which can be downloaded as an MP3 or distributed online. Customization is a core part of the experience. Users can edit the AI-generated script, tweak conversational dynamics, and add music or sound effects to create a more polished, branded sound. The AI is designed to adapt the original content into natural dialogue rather than simply reading it verbatim, which helps keep listeners engaged.