AI Podcast Shownotes Agent
The Podcast Shownotes Agent listens to your audio files, extracts key discussion points, generates timestamped summaries, and formats structured shownotes for publication. It handles speaker identification, topic segmentation, and hyperlink organization—removing the manual transcription-to-notes workflow that typically consumes 2-4 hours per episode. ifolabs builds this agent to your specifications and deploys it into your production environment for immediate use.
Key benefits
- Generates timestamped shownotes directly from raw podcast audio
- Extracts topics, speakers, and key moments automatically
- Formats output for RSS, websites, or distribution platforms
- Reduces manual shownotes creation from hours to minutes
How ifolabs builds it
We assess your podcast format, audio quality, and shownotes structure to define agent behavior. The agent ingests your audio files, performs speech-to-text transcription with speaker diarization, identifies key segments and topics, and outputs formatted shownotes with embedded timestamps. We then deploy it to your infrastructure with monitoring and iteration cycles until output quality matches your standards.
Use cases
FAQ
What audio formats does the agent accept?
The agent processes MP3, WAV, M4A, and other common podcast formats. We configure input handling based on your distribution platform and recording workflow during setup.
How accurate are the extracted timestamps?
Timestamp precision depends on audio quality and speech clarity. Typical accuracy is within 1-3 seconds. We test against sample episodes and refine detection thresholds before production deployment.
Can the agent identify multiple speakers?
Yes. Speaker diarization labels different voices and can assign names if trained on sample audio. Setup includes defining speaker count and providing reference clips for accurate identification.
What format are the shownotes delivered in?
Output is configurable: markdown, HTML, JSON, or plain text. We match your publishing platform's requirements and can integrate directly with your CMS or podcast hosting provider.
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