Your back catalog as a searchable library. Plus subtitles you'd actually ship.

Every YouTube video, podcast episode, and interview you've made joins one searchable library. Capture new conversations with the macOS app, query the archive from ChatGPT or Claude, and export chapters and subtitles ready for CapCut, Premiere Pro, Final Cut Pro, and DaVinci Resolve.

No credit card required.·Pay only for what you use.

See it in action

Real output from a real transcription

Browse chapters, ask questions, and explore search results from an actual transcript.

44 Harsh Truths About The Game Of Life - Naval Ravikant (4K)
Chris Williamson
Contents
8 chapters · 513 sections
1Happiness Versus Success: Philosophical Reflections on Contentment, Desire, and Motivation
2Optimizing Sleep: Smart Temperature Regulation and the Foundations of Self-Esteem
3Decisive Action and Iterative Practice: Keys to Optimal Choices and Mastery
4Wealth Management: From Materialism to Value Creation and Fair Compensation
5Evaluating LLMs: Capabilities, Limitations, and Their Role in AI's Evolving Landscape
6Pathogens, Evolution, and Knowledge: How Humans Adapt and Defend
7Agency, Power, and the Individual: From Child Development to Cultural Conflict
8Unseen Trends: Media Oversights, Medical Limitations, and the Primitive State of Modern Biology
Q&A preview
Answer
Naval explains two distinct paths to happiness using the story of Alexander and Diogenes. The first path is through success—conquering the world, satisfying material needs, and getting what you want. The second path, exemplified by Diogenes living in a barrel, is simply not wanting in the first place. As Socrates said when shown luxuries: 'How many things there are in this world that I do not want.' Naval suggests not wanting something is as good as having it—both paths lead to the same destination of contentment [00:38–01:10]. He's not sure which path is more valid, noting it depends on how you define success [01:10–01:25].

Command Palette

Search for a command to run...

Your past episodes are dark matter

  • You know you covered the topic. You just can't find which episode or where in it
  • Built-in editor auto-captions break on names, accents, and any language past English
  • Summaries throw away the exact phrasing you need to clip and repost
  • Every new transcript lives and dies in one file. No search, no Q&A, no library

What you get with a transcript-first creator workflow

One searchable library across every episode

Paste links or upload episodes. Ask 'where did I talk about X?' across your whole back catalog. Get a cited answer with a timestamp and jump to the second.

Subtitles ready for any editor

SRT, WebVTT, karaoke VTT, and JSON exports with platform presets for TikTok, Reels, YouTube, Netflix-style, podcasts, and broadcast. Real control over CPL, CPS, and gap timing.

Chapter timestamps for YouTube, Spotify, and Apple Podcasts

Auto-generated chapters formatted for posting to each platform. Drop them into your description box without manual fixups.

Works in any language, automatically

67 languages with measured accuracy per language. We pick the right speech-to-text engine per file, so your multilingual interviews and dubs don't fall apart.

Cited Q&A across your archive

Ask any question about a single video or your whole back catalog. Answers come with timestamps. Click the citation to verify and clip.

Speaker identification on interviews

Multi-speaker labeling on interview cuts. Useful for podcast and conversational content where 'who said what' matters.

Capture on Mac, query from ChatGPT and Claude

Record interviews and voice memos in the macOS app (AudioTap on macOS 14.2+, no virtual drivers). Ask follow-up questions against your archive from the ChatGPT GPT or Claude Connector, anywhere you're already working.

What people use this for

  • Mine clips and quotes for shorts, threads, and reposts across your full back catalog
  • Export SRT subtitles for CapCut, Premiere Pro, Final Cut Pro, and DaVinci Resolve
  • Generate chapter timestamps formatted for YouTube, Spotify, and Apple Podcasts
  • Search every past interview to recall an answer, source, or guest name
  • Translate and re-dub multilingual interviews with accurate transcripts as the source
  • Copy chapter outlines and takeaways into Notion, Obsidian, or social drafts
  • Capture new interviews and dictation on the macOS app, then query the archive from ChatGPT or Claude

FAQ

Frequently asked questions

Yes. Library-wide search and Q&A spans every transcript in your account. Find the exact moment you covered a topic across your full back catalog, even if you can't remember which episode.

Yes. Standard SRT and WebVTT files import directly into all major editors. Karaoke VTT for word-level highlight timing and JSON for custom integrations are also available.

Yes. Posting-ready chapter formats for YouTube, Spotify, and Apple Podcasts are pre-generated on every transcript. Paste them directly into your description box.

67 languages with FLEURS-measured accuracy per language and per pipeline. The right speech-to-text engine is picked for each file, so a Korean podcast, a Japanese interview, and an English lecture each get the model that handles them best.

Free credits on signup with no card required. After that, pay-per-minute pricing with no monthly minimums and no per-export fees.

Turn your back catalog into a searchable library.

Paste a YouTube link, RSS feed, or upload an episode. Pick the editor format you need. Mine the moments in seconds.