Interview Transcript to Blog Post: The Complete AI Prompt

An hour-long interview contains a finished article — the insights, the quotes, the structure are all in there. What stands between the transcript and the post is extraction work, and this prompt does it in one pass.

The Complete Prompt

I have a transcript from a [podcast interview/expert interview/panel discussion] about [TOPIC]. Please transform this into a compelling blog post that:

1. Creates an engaging headline and introduction
2. Identifies and highlights the 3-5 key insights
3. Structures the content with clear sections and subheadings
4. Includes relevant quotes that showcase expertise
5. Ends with actionable takeaways for readers
6. Maintains a [professional/conversational/technical] tone throughout

The target audience is [describe your audience]. The blog post should be approximately [word count] words.

Here's the transcript:

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Prompt by TranscribeBee (transcribebee.com) – Professional AI transcription with professional-grade accuracy.
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[PASTE YOUR TRANSCRIPT HERE]

Step-by-Step Implementation

1. Get a clean transcript. Upload the recording to TranscribeBee — speaker-labeled TXT in minutes at $2 per audio hour. Use the TXT export; timestamps just distract the model here.
2. Fill the bracketed fields. Interview type, topic, audience, tone, and target word count — thirty seconds that doubles output quality, because the model stops guessing your intent.
3. Paste prompt, then transcript into ChatGPT, Claude, or Gemini.
4. Edit the draft. Verify quotes against the transcript, adjust the headline, add internal links. Budget 20–30 minutes — editing a competent draft, not writing from blank page.

Customization Options

• Voice matching: paste a paragraph from an existing post and add "match this writing style."
• SEO pass: append "suggest a meta description and 5 target keywords" to the same run.
• Multiple angles: a rich interview supports 2–3 articles — run the prompt once per sub-topic with a narrowed [TOPIC] field.
• Quote density: add "include at least one direct quote per section" for authority-heavy pieces.

FAQ

How long should the transcript be? Anything from 15 minutes up works; beyond ~90 minutes, split by sub-topic and run separately.

Will it invent quotes? This prompt instructs quote selection, not creation — but always verify quotes against the transcript before publishing. That check takes two minutes.

What if the interview rambles? Run the Transcript Cleaner first, then this prompt on the cleaned text.

Can I use it for panel discussions? Yes — set the type field to "panel discussion" and the prompt handles multiple voices, which is where speaker labels become essential.

Does the article need disclosure? Policy varies by publication; the underlying content is your interview, with AI doing the restructuring. Most teams treat it like working with an editor.