Chapters + pull-quotes · 250–400 words · paid unlocks batch episodes + branded templates

Podcast show notes ready to ship to your CMS.

Paste an episode link, get a 250–400 word write-up with chapter markers and pull-quotes. Drop straight into Buzzsprout, Transistor, Substack, or your own CMS.

from $0.36/hour · no subscription · Credits never expire · Never used to train AI
Speaker-attributed quotes · Chapter timestamps included · Markdown or plain-text export · Never used to train AI

What you get

Show notes that actually drive listens.

250–400 word write-up

Episode summary, who-this-is-for, three to five key takeaways. Tuned for podcast directories that show the first 200 characters and CMS templates that expect a tight intro paragraph.

Chapter timestamps

Auto-generated chapter markers (5–8 per hour) with timestamps and short titles. Drop into Apple Podcasts chapters, YouTube description, or Spotify show notes — listeners can jump straight to the segment they want.

Pull-quotes

Three to five speaker-attributed quotes — the lines that make people share an episode. Picked for hookiness (questions, contrarian takes, big numbers), not just length.

Markdown or plain text

Export as markdown for Substack, Ghost, or Hugo, or as plain text for Buzzsprout and Transistor. Both come with the same content; you pick the wrapper.

Why structure matters

Auto-summary vs real show notes.

✗ A generic AI summary

One paragraph, no chapters, no quotes, no structure. Reads like a Wikipedia stub. Doesn't drive a click from someone scanning Apple Podcasts or Spotify.

  • Single paragraph, no skim path
  • No chapter markers
  • No pull-quotes — nothing shareable
  • No CTA structure for the CMS
  • Generic phrasing that flags as AI

✓ Whipscribe show notes

Episode summary, this episode covers, three to five key points, chapters with timestamps, three to five pull-quotes, listener CTA. Paid unlocks batch episodes and branded templates. Sample show notes: In this episode of Founder Stories, host Maya Chen sits down with Dev Patel, founder of Lattice — the developer-tools company that hit $10M ARR with a team of seven. Dev breaks down why he intentionally turned away VC money for the first two years, how he hired his first engineer (a cold DM that almost didn't get a reply), and the framework he uses to decide which features ship and which die in backlog. This episode covers: bootstrapping discipline, hiring through cold outreach, the 'three-week rule' for feature decisions, and what changed when Lattice finally raised a seed round. Key takeaways: • Why Dev rejected three term sheets in year one • The cold DM template that landed his first engineer • His three-week shipping framework • What he'd do differently with the first $1M ARR Chapters: 0:00 Intro and how Dev got into developer tools 4:12 Why he said no to VCs in year one 12:34 The cold DM that hired his first engineer 22:45 The three-week rule for feature decisions 34:18 What changed after the seed round Pull-quotes: • 'I rejected three term sheets in year one. Best decision I ever made.' — Dev Patel • 'My first engineer was a cold DM that almost didn't get a reply.' — Dev Patel • 'If a feature can't ship in three weeks, it dies. Forever.' — Dev Patel

    Export

    One transcript. Four clean formats.

    Every pack exports all four — no format is held back for a higher tier.

    .markdown

    Markdown

    Export format.

    .txt

    Plain text

    De-ummed paragraphs. Ready to paste.

    .docx

    Show notes

    Formatted with chapters and pull-quotes.

    .json

    Machine-readable

    Per-word timing + speaker IDs.

    Pricing

    Honest pricing, no surprises.

    No subscription and no auto-renew — every tier is a one-time minute pack, and credits never expire. Buy once, use the minutes whenever you need them.

    Casual pack

    $4/300 min

    5 hours of audio. One-time — credits never expire.

    • 300 minutes of audio
    • All export formats
    • Unlimited Claude chat per transcript
    • Executive summary & key quote
    Get 300 minutes

    Best value

    $12/2,000 min

    33 hours of audio — $0.36 an hour. Credits never expire.

    • 2,000 minutes of audio
    • Priority queue
    • All export formats
    • Unlimited Claude chat per transcript
    Get 2,000 minutes

    Bulk pack

    $24/5,000 min

    83 hours of audio — $0.29 an hour. Credits never expire.

    • 5,000 minutes of audio
    • Priority queue
    • API access for batch pipelines
    • All export formats
    Get 5,000 minutes

    FAQ

    Show notes generator questions, answered.

    How long are the show notes?

    250–400 words by default — calibrated for podcast directories (Apple, Spotify) which show the first ~200 characters and CMS templates which expect a tight intro paragraph plus structured sections. You can ask for shorter (150 words, intro only) or longer (600+ words, full breakdown) on paid tiers.

    Can I customize the format?

    The default is a fixed structure: summary → covers → key takeaways → chapters → pull-quotes. Branded templates — your own section headers, voice, CTA blocks, sponsorship slots, host signoff — are a paid unlock.

    How accurate are the chapter markers?

    Chapter timing is anchored to the transcript's word-level timestamps and refined for topic shifts. Typical accuracy is within 5–10 seconds of the actual segment break. Edit the timestamps in our editor before exporting if a marker lands awkwardly.

    How many pull-quotes do I get?

    3–5 per episode by default. They're picked for shareability — questions, contrarian takes, big numbers, founder confessions — not random sentences. You can regenerate the quote pool if the first batch doesn't fit.

    Will the notes sound like AI?

    We tune the prompt against an explicit anti-slop list — no 'in today's fast-paced world,' no 'game-changer,' no 'let's dive in,' no exclamation marks. Output reads like notes a human host would write. If a phrase still feels off, edit before exporting.

    Is the audio or transcript stored?

    Transcripts and notes in your library are retained for 365 days; you can delete any item from your account settings. We never train AI models on your audio.

    Related

    Related tools and pages.

    Drop a podcast link. Get publication-ready notes.

    Generate show notes

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