Podcast Transcription → Key Insights → Social Media Campaign

intermediate20 minPublished Apr 17, 2026
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Transform podcast episodes about AI trends into engaging social media content and thought leadership posts across multiple platforms.

Workflow Steps

1

Otter.ai

Transcribe podcast episodes

Upload podcast audio files to Otter.ai or connect via RSS feed for automatic transcription. Enable speaker identification and set up automated processing for regular shows like The Vergecast. Export transcripts as text files or access via API.

2

OpenAI GPT-4

Extract key insights and quotes

Process the transcript with a prompt: 'Extract 5 key insights, 3 quotable moments, and 2 controversial takes from this AI podcast transcript. Format each as social media posts with relevant hashtags. Include episode context and speakers.' Use GPT-4's long context window for full episodes.

3

Canva

Generate quote graphics

Create a Canva template for podcast quote cards. Use Canva's API or Zapier integration to automatically generate graphics using the extracted quotes. Set up brand colors, fonts, and podcast branding elements. Include episode number and guest names.

4

Buffer

Schedule social media posts

Connect Buffer to automatically schedule the insights as LinkedIn articles, Twitter threads, and Instagram posts. Set up posting schedules: LinkedIn for professional insights (Tuesday/Thursday 9AM), Twitter for quick takes (daily 11AM/3PM), Instagram for quote graphics (MWF 2PM).

5

Notion

Track content performance

Create a content database in Notion to log each post with episode source, platform, engagement metrics, and best-performing insights. Use this data to refine future content extraction prompts and identify trending topics for original content.

Workflow Flow

Step 1

Otter.ai

Transcribe podcast episodes

Step 2

OpenAI GPT-4

Extract key insights and quotes

Step 3

Canva

Generate quote graphics

Step 4

Buffer

Schedule social media posts

Step 5

Notion

Track content performance

Why This Works

Transforms long-form audio into multiple pieces of engaging social content, leveraging AI to identify the most shareable moments while maintaining consistent brand presence.

Best For

Content creators and marketers who want to maximize podcast content across social platforms

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