AI Voice Podcast Generation Implementation

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Voice Podcast Generation Implementation
Medium
~5 days
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AI Voice Podcast Generation

AI converts text content (articles, reports, news) into polished audio episodes with natural speech and optional music. Suitable for publications, corporate communications, educational platforms.

Generation Pipeline

1. Transform article into conversational podcast script
2. Synthesize each segment with TTS
3. Assemble podcast with pauses and music
4. Export as MP3

Script Generation

Uses LLM to convert formal text into conversational dialogue:

  • Target duration: 5–10 minutes
  • Multiple speakers (main host, expert)
  • Conversational tone, no jargon
  • Returns structured JSON with segments

Voice Synthesis

Uses OpenAI TTS API with different voices:

  • Alloy: main host
  • Nova: expert voice
  • Fable: narrator

Audio Assembly

Combines segments with pauses using pydub library:

  • 300ms pause between segments
  • Optional intro jingle
  • MP3 export with 128k bitrate

Formats and Use Cases

Format Duration Use
News briefing 2–3 min Daily news
Article summary 5–10 min Media, blogs
Report digest 10–20 min B2B, analytics
Full audio course 30–60 min EdTech

Timeline: podcast generator from articles — 1–2 weeks. Automated pipeline with scheduling — 3–4 weeks.