AI-Powered Podcast Generator

Client Profile

A media company with a robust archive of written content (blogs, news, articles) aiming to expand into audio content delivery.

Business Challenge

The content marketing team faced multiple obstacles:

• Limited capacity for manual podcast production (recording, editing, publishing).
• Need to repurpose articles into engaging audio without additional headcount.
• Desire to tap into the podcast and smart speaker audience (e.g., Alexa briefings).
• Budget and time constraints prevented scaling human-led audio narration.

Solution Approach

We engineered a fully automated AI podcast generation pipeline.

Key Components

• Realistic Voice Narration:
  • Leveraged ElevenLabs for lifelike TTS.
  • Created custom brand-aligned voices, including voice cloning with consent (e.g., editor-in-chief).
• Content Segmentation & Formatting:
  • Articles are split into podcast-ready segments.
  • Inserted royalty-free music, sound effects, and intro/outro branding.
  • Expanded acronyms using NLP techniques for listener clarity.
• Automation Engine:
  • Users could submit articles or URLs.
  • AI agent (via Google ADK) fetched, cleaned, and narrated the text.
  • Included post-processing is volume normalisation, noise reduction, and branding audio stitching.
• CMS Integration + Scheduling:
  • Synced with the company’s CMS to auto-generate audio versions upon article publication.
  • Supported multi-language podcast generation with appropriate native-speaker AI voices.

Results & Benefits

• Produced over 180 podcast episodes in the first quarter post-launch.
• Shifted from 4 episodes/month to daily output.
• Reduced podcast production time to ~15 minutes per article.
• 10–15 hours saved weekly in editing and narration.

Audience Metrics:

• Podcast downloads doubled in 3 months.
• Positive feedback on AI narration quality – many users didn’t notice it wasn’t human.
• Expanded reach via Spotify, Apple Podcasts, and smart speakers.
• Generated a new revenue stream via podcast ads.

User Impact

• Writers focused solely on content; the AI handled audio transformation end-to-end.
• Editors only reviewed episodes for accuracy and style tweaks.
• Feedback tools allowed quick corrections for names and pronunciation.

“We went from publishing maybe one podcast a week to a new one every day, without killing our team – it’s like magic.”

• Launched new series (e.g., daily news briefs) that would’ve been infeasible without automation.
• Boosted team morale and reinforced a culture of innovation.

What’s Next

• Exploring an AI audiobook service for long-form reports.
• Developing an AI summary bot to convert articles into short-form audio insights.

The AI podcast generator has become a model use case in how generative AI enhances content scalability while preserving quality and user engagement.