Workflow · Content
YouTube video → blog post
The difference between “write a post about this video” and a post built from the transcript is accuracy: real quotes, the speaker’s actual argument, nothing invented.
How it works
- Fetch the video's transcript.
- The assistant extracts the argument structure and the 3–5 most quotable lines.
- It drafts the post in your voice, quoting the speaker verbatim where it counts.
- You edit — the facts and quotes are already right, so editing is style, not verification.
Why transcript-first beats summary-first
Models asked to “write about” a video they have not read will confidently invent quotes. Feeding the actual transcript inverts the failure mode: the raw material is verbatim, so the draft’s claims check out and direct quotes are real — which matters the moment your post names someone.
Get the transcript of [VIDEO URL] and draft a 900-word blog post from it.
Structure: hook, the speaker's core argument in my words, 3 direct quotes
(verbatim, attributed), one counterpoint, takeaway. My audience: [WHO].
My tone: [STYLE]. End with a link to the original video.curl "https://bulktranscripts.co/api/v1/transcript?video=VIDEO_ID&segments=0"What you’ll need
An MCP-capable assistant (Claude, ChatGPT, Cursor) connected to https://bulktranscripts.co/mcp — one sign-in includes 30 free credits — or a license key for the REST API. Transcripts already in your library are re-read free, so iterating on the same videos costs nothing after the first pass.
Common questions
Does one post cost one credit?
One credit the first time that video enters your library; every redraft after that reads it free.
Can I do this for a whole channel's archive?
Yes — list the channel with get_channel_videos, then run this workflow per video. The bulk workspace can also export everything at once.