AI Automated Podcast Generation System

AI System for Automated Podcast Generation

Podcast from article, news digest or knowledge base — in minutes instead of hours of recording. The system takes textual content, structures it into conversational narrative, synthesizes host voices and assembles finished audio file with musical arrangement.

How It Works

Component Stack:

1. Content Processor — LLM (GPT-4o / Claude 3.5) rewrites input text into conversational dialogue. Prompt system accounts for format: solo narrative, two-host dialogue, interview
2. TTS Engine — ElevenLabs Multilingual v2, PlayHT 2.0 or Coqui XTTS-v2 (self-hosted). Voice cloning in 3–5 minutes of audio sample for branded voice
3. Audio Post-Processing — loudness normalization (EBU R128 / -14 LUFS), noise reduction, dynamic compression via librosa + ffmpeg
4. Music & SFX Layer — jingles, transitions, background music via AudioGen or royalty-free asset library

Input Formats: text (TXT, DOCX, PDF), article URL, RSS feed, JSON data

Output Formats: MP3 (192kbps), WAV, AAC; RSS feed for automatic publication to Apple Podcasts / Spotify

4-Week Pipeline

Weeks 1–2: LLM pipeline setup for content rewriting. Host voice cloning (or selection from library). TTS API configuration.

Weeks 3–4: Audio post-processing pipeline. Automatic publication (RSS + Anchor/Buzzsprout API). Web interface for generation launch.

Application and Metrics

Corporate podcasts from internal materials, news digests, educational content. Generating one 15-minute episode takes 3–7 minutes. Multilingual support: one content — multiple language versions in parallel.