Video Content Repurposing With ChatGPT: Turn Recorded Videos Into a Week of Posts

You record a 45-minute webinar. Eight people attend live. The recording sits on YouTube collecting dust. That same webinar could be a blog post, three LinkedIn posts, two X threads, a newsletter edition, and a slide deck. Video content repurposing with ChatGPT turns one recording into a whole week of posts.

The gap is not the quality of the content. It is the time it takes to repurpose it. Manually transcribing, rewriting, and reformatting a 45-minute video into five different formats takes four to six hours. That is a full day of work for one piece of content. Most teams do not have that time, so the video stays as a video.

According to Semrush's 2025 content marketing report, 66 per cent of content marketers repurpose content two to three times, and those who do see a 35 per cent higher engagement rate per piece. HubSpot's research puts the figure higher: repurposed content generates roughly 75 per cent more engagement than publishing new content for each channel separately. The content was already good — it just needed the right format.

ChatGPT changes the math. A 45-minute transcript takes about 10 minutes to generate and another 20 minutes to turn into five content pieces. The time drops from a full day to under an hour. Here is the exact workflow.

What you will need

• A recorded video with access to its transcript (YouTube, Zoom, Loom, Riverside)
• A ChatGPT account (free tier works for shorter videos, Plus is better for longer ones)
• A scheduling tool like Buffer or Hootsuite for social posts
• Your email platform for the newsletter version

Step 1: Get the transcript

Start with the raw text of what was said. Every major video platform provides transcripts. On YouTube, open the video, click the three dots below the player, and select "Show transcript." Copy the entire text. In Zoom, cloud recordings include an audio transcript file. In Loom, the auto-transcription is available in the video settings. Save the transcript as a plain text file.

If the transcript is very long (over 10,000 words), split it into two or three sections. ChatGPT handles shorter inputs more reliably. Process each section separately and merge the outputs. OpenAI's documentation on prompt length limits gives guidance on how much text ChatGPT can handle per request.

Step 2: Generate a blog post

Paste the cleaned transcript into ChatGPT with this prompt:

You are a content editor turning a video transcript into a blog post.
The audience is B2B marketers and business owners.

Rewrite this transcript as a structured blog post with:
- An engaging opening paragraph that states the core problem
- 3-5 H2 sections covering the main points
- Short paragraphs (2-3 sentences max)
- A clear closing that summarises the key takeaway

Keep my original voice and examples. Use Australian spelling (organise,
customise, behaviour). Do not add anything that was not in the transcript.

Transcript:
[paste transcript here]

ChatGPT will return a structured blog post. Read through it once to check for accuracy. The substance should match the video. If ChatGPT added a point that was not in the original, remove it. If it missed something important, add it back. A five-minute edit pass is usually enough.

Step 3: Extract social media posts

Use the same transcript to generate LinkedIn and X content. The best approach is to ask ChatGPT to find quotable moments rather than summarising the whole video.

From this transcript, extract 5 quotable moments that would work as
LinkedIn posts. Each quote should be a standalone insight that someone
would want to share. For each quote, provide:
1. The exact quote (1-2 sentences)
2. A 2-3 sentence commentary expanding on why it matters
3. 3 relevant hashtags

Transcript:
[paste transcript here]

Step 4: Create an email newsletter version

The email version needs to be shorter and more direct than the blog post. People read emails differently. They scan. The hook needs to land in the first sentence.

Condense this transcript into a 3-paragraph email newsletter.
Paragraph 1: The hook and the problem (2-3 sentences)
Paragraph 2: The key insight or framework (3-4 sentences)
Paragraph 3: The actionable takeaway and CTA (2-3 sentences)

Subject line: [suggest 3 options]
Preheader: [1 sentence, under 100 characters]

Transcript:
[paste transcript here]

Step 5: Schedule and distribute

You now have a blog post, LinkedIn posts, and a newsletter from one video. Schedule the blog post in your CMS, queue the social posts in Buffer or Hootsuite, and send the newsletter through Mailchimp or your email platform. Stagger them over the week: blog post on Monday, LinkedIn posts on Tuesday and Thursday, newsletter on Wednesday.

The full cycle from video to published content takes under an hour. Over a quarter, that turns twelve webinars into sixty content pieces. Buffer's content repurposing best practices cover scheduling patterns that maximise reach across platforms. For more on building a systematic content pipeline, see our guide on AI blog writing with Claude Cowork and the content automation workflow with Notion, Make and Buffer.

What changes when it is wired up

Before this workflow: every video is a one-off. Record it, publish it, move on. The content lives in a single format on a single platform.

After this workflow: every video produces five pieces of content across three platforms. The same hour of talking reaches people who prefer reading, people who scan social feeds, and people who read email newsletters. Each format was written for its specific audience.

HubSpot's content repurposing research shows that repurposed content generates roughly 75 percent more engagement than publishing new content for each channel separately. The content was already good. You just needed to put it in the right format.

Frequently asked questions