The AI workspace for your podcast notes

You learn more from podcasts than you retain. An interview with a founder who explains exactly how they solved a problem you're facing. A researcher who lays out a framework you want to apply. A conversation that reframes how you think about your work. In the moment, it's brilliant. An hour later, you remember the gist. A week later, you remember that you heard something useful but not the details, not the episode, and not the phrasing that made it click. Podcast knowledge is consumed in transit, in the gym, while cooking, in contexts where capturing is hard and revisiting is harder. The episode is two hours long. The insight was thirty seconds. Finding those thirty seconds again means re-listening to the whole thing, which you'll never do.

Fabric captures what you learn from podcasts and makes it searchable. Transcribe episodes, record your own takeaways, and search across everything by meaning. The insight from the episode becomes a permanent, findable part of your knowledge, connected to your notes, your reading, and your work.

Transcribe episodes and search by meaning

Save a podcast episode to Fabric and audio and video transcription turns the spoken content into searchable text. The full conversation is transcribed and timestamped, so you can find the exact moment a specific topic was discussed.

AI search reads every transcript and searches by meaning. Ask "the part about pricing strategy for early-stage startups" or "when the guest explained their hiring framework" and find the moment from the right episode across every podcast you've saved. The search understands concepts, so it finds the relevant section even when the speaker used different words from your query.

This transforms podcast episodes from ephemeral audio into a searchable library. The interview you listened to six months ago is as findable as the one you heard this morning.

Capture your takeaways in the moment

Sometimes you can't save the full episode, but you can capture what matters to you right now. Record a voice note with your reaction or takeaway while the insight is fresh. Thirty seconds of spoken reflection, transcribed immediately and searchable alongside the episode if you save it later.

On the mobile app, quick capture lets you jot a text note, record a voice memo, or save the episode link in seconds. The capture happens in the moment, while you're walking or commuting, without interrupting what you're doing.

Forward a podcast recommendation email or a show notes link to email-to-note and it joins your library. Save show notes pages from the web with the web clipper. Every touchpoint with a podcast, the episode, the show notes, the article the guest referenced, your own takeaway, can land in one searchable place.

Ask the AI about what you've heard

The AI assistant treats your podcast transcripts as a queryable knowledge base. Ask it to summarise an episode. Ask it to extract the three key frameworks from an interview. Ask it to find every episode where someone discussed a specific topic. Ask it to compare what two different guests said about the same problem.

For heavy podcast listeners, this changes the relationship with the medium. Instead of a stream of consumed-and-forgotten content, podcasts become a growing library of searchable expertise. A question like "what have the founders I've listened to said about product-market fit" draws from across dozens of episodes and produces a synthesis that no single listen could provide.

Write notes alongside the transcript

For episodes you want to engage with more deeply, write your thoughts in notes and docs alongside the transcript. Annotate the transcript directly: highlight the key passages, mark the moments you want to return to, note how an idea connects to something you're working on.

Your notes and annotations are searchable alongside the transcript. When you revisit the topic weeks later, you find the episode, the highlighted passages, and your own thinking about them together. The processing you do after listening survives alongside the content.

Connected to your reading and thinking

The best podcast insights connect to other things you know. A guest recommends a book you've read. An argument echoes something from an article you saved. A framework applies to a project you're working on. But if podcast notes live in a separate app from your reading notes and work documents, the connections only exist in your head.

In Fabric, podcast transcripts live alongside your articles, book highlights, research notes, documents, and every other content type. When you search a topic, results come from across podcasts, articles, books, and your own notes together. The explorer surfaces connections between podcast content and other material in your library, so the episode and the article that address the same idea are linked automatically.

This is the second brain approach applied to podcast consumption: everything you hear, read, and think in one searchable, connected system.

Follow podcasts in your workspace

Subscribe to podcasts with RSS feeds and new episodes arrive in your workspace alongside your other content. No separate podcast app needed for tracking. When a new episode drops, it's in Fabric, ready to be saved, transcribed, and searched.

Combine RSS with agents to automate podcast processing: summarise new episodes from your subscriptions, flag episodes that mention topics you're tracking, or generate weekly digests of what's been published.

Who uses Fabric for podcast notes

Podcast listeners who want to retain and use what they hear. Writers and content creators mine podcasts for research and content planning. Founders and indie hackers listen to founder interviews and want the lessons searchable. Students listen to educational podcasts alongside their coursework. Researchers follow domain-specific podcasts and want the content indexed alongside their reading.

For the broader personal library approach, see reading and learning. For structured note-taking from what you consume, see the guides to book notes and building a second brain.

Get started

Start capturing what you learn from podcasts and stop losing the insights that matter most. Try Fabric free.

Get the mobile app for capturing takeaways on the go.

FAQs

Can Fabric transcribe podcast episodes?

Yes. Save an episode and audio and video transcription generates a timestamped, searchable transcript. The full conversation becomes searchable text.

Can I search for a specific moment from a podcast?

Yes. AI search reads every transcript and searches by meaning. Describe what was discussed and find the moment with a timestamp, without re-listening.

Can the AI summarise a podcast episode?

Yes. The AI assistant can summarise an episode, extract key takeaways, or answer specific questions about what was discussed.

Can the AI search across multiple episodes at once?

Yes. Ask a question and the assistant draws from every podcast transcript in your library. Find every episode where a topic was discussed and get a synthesised answer.

Can I capture a quick takeaway while listening?

Yes. Record a voice note or type a quick thought with quick capture on the mobile app. The takeaway is transcribed and searchable alongside the episode.

Can I annotate podcast transcripts?

Yes. Annotations let you highlight and comment on transcripts. Your annotations are searchable alongside the episode content.

Can I subscribe to podcasts in Fabric?

Yes. RSS feeds bring new episodes into your workspace automatically. Combine with agents for automated summaries and digests.

Can I search across podcasts and articles together?

Yes. Podcast transcripts are searchable alongside articles, book highlights, notes, and every other content type. The episode and the article that address the same concept are findable in the same search.

Can I save show notes and links alongside the episode?

Yes. Save show notes with the web clipper or forward them to email-to-note. They join the same library as the transcript and your notes.

Does the library get more useful over time?

Yes. Every episode you save deepens what the AI can draw on. A question asked across a year of saved podcasts produces a richer answer than one asked across a month. The consumption compounds into searchable expertise.

How is this different from a podcast app?

A podcast app plays episodes. Fabric transcribes them, makes them searchable by meaning, connects them to your reading and notes, and gives you an AI that synthesises across episodes. The difference is between listening to a podcast and building a searchable library from what you hear.

Are my podcast notes private?

Yes. Your content is encrypted and only visible to you unless you choose to share it. Fabric uses AES-256 encryption and is CASA Tier 2 compliant.