Wave — AI Script‑to‑Podcast Platform

Problem

Traditional podcast production is hardware-dependent and error-sensitive. Creators need microphones, recording software, sound-treated environments, and post-processing tools. Multi-speaker podcasts require coordination between participants, consistent voice quality, and synchronized recording. Any mistake in dialogue, pronunciation, pacing, or emotion often forces partial or full re-record. Script updates after recording create additional overhead because audio must be rerecorded and re-edited. This makes podcast creation slow, costly, and difficult to scale especially for story podcasts and scripted shows.


Solution — Wave (AI Script-to-Podcast Platform)

Wave replaces traditional recording workflows with a script-first, AI-generated multi-voice podcast pipeline. Instead of recording audio, users create structured character-based scripts and instantly convert them into high-quality podcast episodes using realistic AI voices.

Users log in and create a podcast project. Each podcast contains episodes, and each episode contains characters and dialogue cells. Every line is mapped to a selected AI voice. Once the script is ready, Wave generates multi-speaker audio, merges it seamlessly, and produces a ready-to-publish episode. If changes are needed, users simply edit the text and regenerate — no reshoots, no equipment, no coordination issues.

This turns podcast creation into an editable, repeatable, and scalable text-to-audio workflow.


Core Functional Flow

  • User logs in
  • Creates Podcast → Creates Episode
  • Defines Characters (name + AI voice)
  • Writes dialogue in structured cells
  • Generate multi-voice audio
  • Preview the episode audio
  • Edit text anytime → regenerate audio only for changed parts

Key Features

  • Script-based podcast builder
  • Multi-character dialogue mapping
  • Multi-voice AI TTS generation
  • Voice consistency across episodes
  • Regenerate only edited lines (no full rerender needed)
  • Episode versioning
  • Audio merge & mastering pipeline
  • No recording equipment required

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