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Stanly Thomas
Stanly Thomas

Posted on • Originally published at echolive.co

Podcast Production With AI Voices: A Complete Workflow

The Script-to-Audio Pipeline

Traditional podcast production requires microphones, recording software, and hours of editing. EchoLive's Studio editor offers a different approach: write a script, assign voices, and export broadcast-ready audio.

What Makes It Work

630+ Neural Voices — Not the robotic TTS of five years ago. Azure Neural voices deliver natural prosody, emotion, and pacing across 100+ languages.

Per-Segment Control — Your podcast isn't one long text block. Split it into segments — intro, host section, guest quotes, outro — and assign different voices to each.

Visual SSML Tools — Fine-tune without writing XML. Add pauses between sections, emphasize key phrases, adjust speaking rate for different content types.

Batch Operations — Reorder segments, apply settings in bulk, and regenerate individual sections without touching the rest.

Export Options

  • MP3/WAV — Standard audio formats for any hosting platform
  • AAF-style bundles — Layered exports for further editing in Audacity, Adobe Audition, or other DAWs
  • ZIP packages — All segments bundled for easy transfer

Who Uses This

  • Content creators who publish audio consistently and need speed
  • Educators producing course audio from written materials
  • Marketing teams creating audio versions of blog posts and reports

Learn More

See the full workflow on our Podcast Production use case page.

Open the Studio →


Originally published on EchoLive.

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