Full-text search across millions of podcast episodes

Podverse indexes public podcast episodes and makes every spoken word searchable. Teams can search by topic, guest name, keyword, or phrase across a vast library of shows. This turns podcast audio into a researchable database — useful for content teams tracking industry conversations or finding guest quotes.

Business outcome: Eliminates manual listening for research — teams find relevant podcast moments in seconds, not hours.

AI-powered clip creation from any episode

Users can select a timestamp range from any indexed episode and generate a shareable video clip or audio snippet. The tool automatically adds captions and can export in formats optimised for social platforms. This feature is designed for content repurposing at scale.

Business outcome: Turns one podcast episode into dozens of social-ready clips, multiplying content output without additional production time.

Automatic transcripts with speaker identification

Every indexed episode comes with an AI-generated transcript. Speaker labels are applied where possible, and the transcript is fully searchable within the platform. This enables teams to quote guests accurately and repurpose spoken content into written formats like blog posts or newsletters.

Business outcome: Provides a written record of every episode for SEO, accessibility, and content repurposing workflows.

Curated playlists for topic-based collections

Users can create playlists that group clips or episodes around specific themes, guests, or campaigns. Playlists are shareable and embeddable, making them useful for content hubs, newsletters, or internal knowledge bases.

Business outcome: Organises podcast content into thematic collections that drive repeat engagement and simplify content curation.

Programmatic access to podcast data

Podverse offers an API that allows developers and enterprises to integrate podcast search, transcripts, and clip data into their own applications or workflows. This is valuable for media monitoring tools, content platforms, or custom analytics dashboards.

Business outcome: Enables custom integrations that embed podcast intelligence into existing business systems and workflows.

Embeddable podcast player and clips

Podcast episodes and clips can be embedded directly into websites, blogs, or newsletters via an iframe or widget. The player supports chapter markers and transcript synchronisation, providing a rich listening experience without redirecting users to an external platform.

Business outcome: Keeps audience on your site while delivering a full podcast listening experience with navigation and transcripts.

• Open-Source AI Podcast PlatformPodverse is an open-source web app (Apache-2.0 license) that brings AI capabilities to podcasts, including automatic transcript generation, speaker diarization, episode summaries, and a chatbot with RAG.
• Serverless and Modern StackBuilt entirely serverless with Next.js, deployable on Vercel, using TailwindCSS and ShadCN for UI. It integrates with Supabase, Clerk, Inngest, Deepgram, OpenAI, Stripe, and Mailgun.
• Full-Text Search and RAG ChatbotOffers full-text search across podcast transcripts, metadata, and summaries, plus an LLM-powered chatbot with retrieval-augmented generation (RAG) to answer questions about podcast content.
• Easy Podcast Import via RSSUsers can import any podcast by providing its RSS feed URL, and the system automatically generates transcripts, diarization, and summaries.

• Demonstration ProjectThe README explicitly states this project is meant as a demonstration of a full-stack webapp leveraging AI capabilities. It may not be production-ready or offer commercial support.
• Requires Multiple External ServicesDeployment requires setting up and configuring several third-party services: Supabase, Clerk, Inngest, Deepgram, OpenAI, Stripe (optional), and Mailgun. Each requires API keys and environment variables.
• No Pricing Information ProvidedThe scraped content from the /pricing page is identical to the homepage and contains no actual pricing details. Costs depend on usage of the integrated services (e.g., Deepgram, OpenAI) and are not specified.
• No User-Facing Documentation or SupportThe content is a GitHub repository README. There is no evidence of user-facing documentation, customer support, or a hosted version of the app. Users must self-host and manage all integrations.

Content repurposing for marketing teams

Marketing teams managing a branded podcast can use Podverse to extract key quotes, generate social clips, and build show notes. The platform replaces manual transcription and clip editing, enabling a single episode to feed multiple content channels. Teams using Buzzsprout or Transistor for hosting can index their shows on Podverse and automate repurposing.

Competitive research via podcast search

Analysts and researchers can search across thousands of industry podcasts to track competitor mentions, guest appearances, and topic trends. This replaces manual monitoring with a searchable database of audio content.

Social media clip factories

Social media managers can create a steady stream of short-form video clips from podcast episodes without touching a video editor. Podverse handles captioning, formatting, and export for platforms like Instagram, TikTok, and LinkedIn.

Internal knowledge libraries

Teams can build internal playlists of relevant podcast episodes and clips around training topics, industry insights, or product research. The embeddable player makes it easy to share within company wikis or newsletters.

Create a free Podverse account at podverse.ai and verify your email address.

Search for a podcast or topic in the search bar — browse indexed episodes and preview transcripts.

Select a timestamp range from any episode and click 'Create Clip' to generate a shareable video or audio snippet.

Export your clip in your preferred format (MP4, GIF, or audio) and share directly to social platforms or download for editing.