Drop one recording ship a week of content.
Blog post, show notes, 3-5 vertical clips, a LinkedIn post, and a tweet thread — generated from the same transcript and matched to your voice. One drop, every derivative.
What you get
What one recording should produce.
1500-2000 word blog post
A long-form post that follows the structure of your recording — intro, three to five sections with subheads, conclusion. Every claim links back to a timestamp in the transcript so you can verify before publishing.
250-400 word show notes
Tight episode notes for the podcast feed, newsletter, or YouTube description. Hook line, 3-5 bullet takeaways, key quote, links mentioned in the recording. Drops straight into Apple Podcasts Connect or a Substack draft.
3-5 story-arc clips
Clips with setup, turn, and payoff — picked by the same engine as our standalone clipping tool. Each clip ships in 9:16, 1:1, and 4:5 with burned-in word-level captions and AI-suggested per-platform titles.
LinkedIn post + tweet thread
One LinkedIn post (200-300 words, hook + insight + question) and one X tweet thread (5-7 tweets) — both written from the actual content, not generic templates. Edit and post directly; no separate copywriting pass.
Why one transcript should drive every derivative
Manual repurposing vs one-drop pipeline.
✗ Manual repurposing workflow
Transcribe in tool A, summarize in tool B, clip in tool C, write the LinkedIn post yourself in tool D. Three to five hours per recording, three to five subscriptions, voice drifts across tools.
- 3-5 separate tools, separate subscriptions
- 3-5 hours of context-switching
- Voice drifts between tools
- Re-uploads of the same audio
- Manual SRT-to-burned-in render
✓ Whipscribe one-drop pipeline
One file, one engine. Blog, show notes, clips, LinkedIn post, tweet thread — all generated from the same transcript with the same voice profile. Render time: 5-10 minutes for a one-hour recording.
- One drop, every derivative
- Same voice across blog and posts
- 5-10 min render for an hour of audio
- Story-arc clips, not random hot moments
- All exports ready, no re-runs
Sample output
Speaker-labelled. Source for everything.
All seven derivatives — blog, show notes, three clips, LinkedIn post, tweet thread — are generated from this one transcript.
Export
One transcript. Five clean formats.
Every pack exports all five — no format is held back for a higher tier.
Plain text
De-ummed paragraphs. Ready to paste.
SRT captions
Word-level. Every video editor reads this.
WebVTT
HTML5 player + YouTube uploads.
Show notes
Formatted with chapters and pull-quotes.
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
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
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
FAQ
Repurposing questions, answered.
How many derivatives do I get from one hour of audio?
Realistic output per hour of recording: 1 long-form blog post (1500-2000 words), 1 show notes block (250-400 words), 3-5 story-arc clips in 3 aspect ratios each, 1 LinkedIn post, 1 X tweet thread (5-7 tweets). Roughly 7 ready-to-publish artifacts from one drop.
Can I customize the blog or post style?
Yes — set a voice profile: formal vs casual, short-sentence vs long-paragraph, heavy-hyphen vs sparse-punctuation, jargon-friendly vs explanatory. Future runs match the profile; the default is clear, neutral, business-casual.
Will it match my voice?
Yes — drop in 5-10 of your previous blog posts or LinkedIn posts and we extract a style profile (cadence, sentence length, vocabulary preferences). New derivatives match the profile; without one you get a clean default voice you'd edit before publishing.
Do the clips include burned-in captions?
Yes. Every clip renders with word-level burned-in captions — in your brand colors if you've set a brand pack, otherwise the default Whipscribe style. Captions are styled to read at a glance on a muted phone — that's the bar for short-form video.
Can I re-run with different settings?
Yes. Once a recording is transcribed, you can re-render any derivative — different blog length, different LinkedIn tone, different clip count — without re-uploading. Each re-render counts against your credit minutes.
What about scheduling posts to platforms?
Honest answer: not yet. We generate the artifacts (blog, posts, clips); you publish them through your existing scheduler (Buffer, Hypefury, Later, native platform). Scheduled-publish-to-platform is a deliberate feature we haven't built — too many platforms with unstable APIs to support reliably right now.
Related
Related tools and pages.
Drop one recording. Ship a week of content.
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