The AI workspace for your podcast clips

Your podcast is a content library. Start treating it like one.

You've recorded hundreds of hours of conversations. Somewhere in episode 47, a guest said something brilliant about pricing strategy. Somewhere in episode 112, you told a story that would make a perfect social clip. Somewhere across six episodes with different guests, there's a theme emerging about how founders think about hiring. But your episodes live as audio files in a hosting platform, ordered by date, unsearchable by content. The only way to find a moment is to remember which episode it was in and scrub until you recognise it.

Your podcast archive is one of the most valuable content libraries you own, and you can't search it. Fabric changes that. Every episode transcribed and searchable by meaning. Find the perfect clip in seconds. Generate show notes without listening back. Ask the AI to surface themes across a hundred episodes. For solo podcasters and for podcast agencies managing multiple shows.

Every episode, transcribed and searchable

Audio and video transcription turns every episode into a timestamped, searchable transcript. Upload your back catalogue. Add new episodes as you publish. The full archive becomes a text-searchable library alongside the audio.

AI search finds any moment by meaning. "The part where the guest talked about bootstrapping vs raising" finds the exact timestamp from the exact episode. "Every time a guest mentioned product-market fit" pulls results across the entire archive. The search works by concept, not keyword, so it finds the right moment even when you don't remember the exact words.

Find clips without scrubbing

The social clip that would perform is buried in hour two of a conversation. Finding it by listening back takes longer than the editing. AI search finds it in seconds. Describe the moment and find the timestamp. "The story about the failed launch" or "the analogy about compound interest" or "the part where she got emotional about her co-founder." The search understands what you're looking for, not just the words.

The AI assistant goes further. Ask it to identify the five most clip-worthy moments from an episode. Ask it to find every strong opener across your last twenty episodes. Ask it to surface the moments where guests said something surprising or contrarian. Clip discovery becomes a search problem, and search is instant.

Generate show notes, summaries, and episode descriptions

Writing show notes means listening back to a conversation you already had, summarising it, pulling out timestamps, and formatting it for the episode page. Agents do this automatically:

Generate show notes with key topics, timestamps, and a summary from the transcript. Review, adjust, publish.

Write episode descriptions in your show's voice, tailored for your podcast platform.

Extract guest quotes and key takeaways ready for social posts and newsletters.

Compile a guest directory across your archive: who appeared, what they discussed, links to their episodes.

The agent reads the transcript. You review the output. The hours of post-production admin compress into minutes.

Ask the AI about your entire archive

The AI assistant treats your episode archive as a knowledge base. Ask it questions that span episodes:

"What have my guests said about remote work across all episodes?" draws from every relevant conversation. "How has my thinking about content strategy evolved over the last fifty episodes?" traces the theme through your own words. "Find every guest who discussed raising a Series A" produces a list with timestamps and episode links.

For podcasters who interview extensively in a specific domain, the archive becomes a searchable research library. The interviews you've conducted are primary sources, and the AI can synthesise across them.

Guest research and episode planning

Plan episodes in notes and docs. Research guests by saving their articles, social posts, and previous podcast appearances. The canvas lets you map episode topics, arrange research, and plan seasons visually.

When preparing for a guest who's appeared before, search your archive for their previous episode. The AI summarises what was discussed so you can pick up where you left off rather than covering the same ground.

Annotations let you mark key moments in transcripts: "follow up on this next season," "great clip for social," "contradicts what guest X said in episode 80." Your annotations are searchable across the archive.

For podcast agencies managing multiple shows

Podcast agencies produce for multiple clients across multiple shows. Each show gets its own space. All transcripts, show notes, guest research, and production materials live in one searchable workspace per show.

Self-writing docs produce client relationship trackers maintaining show context, production history, and open items from your meetings and Slack. When a new producer takes over a show, the full history is searchable.

Publish episode assets, show bibles, and production decks to clients with password protection and link analytics. Share polished presentations instead of messy folder links. Track when sponsors and clients have reviewed materials.

See Fabric for agencies for the full agency workflow.

Repurpose across channels

A podcast episode isn't one piece of content. It's dozens. The transcript alone can become blog posts, newsletter content, social threads, and pull quotes. The AI can draft a blog post from the episode, extract tweetable quotes, suggest newsletter angles, and identify the sections that would work as standalone clips. The content repurposing that used to take half a day happens in the time it takes to review and publish.

For the full content workflow, see content planning.

Who uses Fabric for podcasts

Solo podcasters building a searchable archive of every conversation they've had. Podcast agencies managing production for multiple shows and clients. Content creators repurposing podcast content across channels. Video editors cutting video podcasts and needing to find moments fast. Writers using interviews as research for articles and books. Marketers producing branded podcasts. Founders building thought leadership through long-form conversations.

For consuming podcasts as a listener, see podcast notes. For YouTube content, see YouTube videos. For general audio files, see audio.

Get started

Turn your podcast archive into a searchable content library. Try Fabric free.

FAQs

Can Fabric transcribe all my past episodes?

Yes. Upload your back catalogue and audio and video transcription generates timestamped, searchable transcripts for every episode.

Can I find a specific moment without listening back?

Yes. AI search finds any moment by meaning. Describe what was said and find the timestamp in seconds.

Can the AI identify the best clips from an episode?

Yes. Ask the AI assistant to surface the most clip-worthy moments, strongest quotes, or most surprising insights from any episode.

Can agents generate show notes automatically?

Yes. Agents produce show notes with timestamps, summaries, and key takeaways from the transcript. You review and publish.

Can the AI search across my entire archive at once?

Yes. Ask a question and the assistant draws from every episode. Find themes, patterns, and recurring topics across hundreds of hours of content.

Can I plan episodes in Fabric?

Yes. Research guests in notes and docs. Plan seasons on the canvas. Save guest articles and previous appearances alongside your production materials.

Can I annotate transcripts?

Yes. Annotations let you mark key moments, flag clip-worthy sections, and add production notes. Your annotations are searchable across the archive.

Does it work for video podcasts?

Yes. Video and audio are both transcribed and searchable. For video-specific workflows, see videos and YouTube videos.

Can podcast agencies manage multiple shows?

Yes. Each show gets its own space. Self-writing docs maintain production context per client. Publish assets to clients with tracked links.

Can the AI help repurpose episodes into other content?

Yes. The assistant can draft blog posts from transcripts, extract quotes for social, suggest newsletter angles, and identify sections that work as standalone pieces.

Is my content secure?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models. Unpublished episodes and production materials are private.