Use case
Webinar Transcription — one recording, five content formats
Turn one 60-min webinar into 1 blog post + 5 quote cards + 1 LinkedIn article + show notes — for €0.27.
A webinar is 60 minutes of high-quality content — that often dies as a YouTube replay. With a fully-searchable transcript you can spin off 5-10 derivative content pieces: SEO blog post, quote tweets, LinkedIn carousel, newsletter snippets, a best-of reel. DeepScript transcribes with speaker diarization — instantly surfacing quotable lines from each speaker.
Recommended setup
- Model
- Premium (€0.27/hour)
- Language
- Premium for top accuracy. Set the webinar language.
- Custom Vocabulary
- Speaker names, brands, product and feature names, industry acronyms. Saves a lot of find-and-replace later.
- Export
- TXT for direct blog import, JSON for quote-extraction tools, SRT for replay subtitles.
How it works
- 1
Upload the webinar recording
MP4 or M4A from Zoom, GoToWebinar, WebEx or Microsoft Teams. Webinar audio is usually very clean — accuracy is almost always 95%+.
- 2
Speakers + vocabulary
Set speaker count (often 2 — moderator + guest). Fill custom vocabulary with names and products, ~5 min of prep.
- 3
Repurpose the transcript into content
Quick editor pass, mark the best quotes. Full-text search finds all mentions of a topic. Via the MCP endpoint Claude/ChatGPT can directly generate blog posts and tweet threads from the transcript.
Worked example
Example: 60-min B2B webinar, 2 speakers (host + customer), Premium, vocabulary with 18 terms. Cost: €0.27. Output: speaker-separated transcript, then 1 blog post (1500 words) + 4 quote cards + 1 LinkedIn article + 12 tweet snippets generated via MCP.
Frequently asked questions
How do you turn the transcript into derivative content?
DeepScript delivers the full-text searchable transcript. Content generation runs via your AI account (Claude, ChatGPT, Cursor) over the MCP endpoint — your prompt, your AI vendor, your data control. We deliberately don't build a proprietary AI-layer API.
Does this work for multi-panelist webinars?
Yes, up to ~8 different voices speaker separation is reliable. For larger panels (12+) every ML model struggles — custom vocabulary with speaker names plus a quick manual mapping pass (5-10 min) is the fastest path.
Can I automate this for a webinar series?
Yes. REST API + webhooks: webinar ends → auto-upload → transcript lands via webhook in Notion/Slack/Buffer. A small bridge in n8n/Zapier builds this in 30 minutes.
What about data protection?
If your webinar contains personal data (participant questions with names, confidential customer statements), GDPR-compliant processing is mandatory. DeepScript hosts exclusively in Germany, DPA online signable, no use of your data for model training. Makes it the clean choice for regulated industries (finance, medical, legal).
Try it now?
Three transcriptions free, no credit card. Data stays in Germany. Three minutes from sign-up to finished transcript.