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audiopodcastguide

Prepare Podcast-Style TTS Snippets Safely

Build and review a single-speaker podcast-style narration with ImageLayer's current public TTS catalog, without relying on stale prices or unverified samples.

ImageLayer Team··Updated October 14, 2026

Product status — October 14, 2026: Wavelength and the scripts in this article are fictional teaching examples. They are not customer work. Standalone single-speaker narration is the supported launch path documented here. Multi-speaker podcast generation is fail-closed and must not be presented as available.

Podcast-style TTS is useful for a short intro, lesson, internal update, feed trailer, or prototype segment when the source starts as approved text. ImageLayer’s Audio mode renders the script as standalone speech; it does not replace editorial review, fact checking, or a full recording-and-editing workflow.

Choose a current model and compatible voice

The current public catalog contains Google Gemini TTS Flash and Gemini TTS Pro, using the eight Google voices shown in the widget. Deprecated OpenAI speech models are no longer offered for new requests.

Provider labels do not guarantee a particular latency, naturalness, or production quality. Select a model, then choose only from the compatible voices the widget presents for that model.

Launch-safe walkthrough: fictional monologue

  1. Set Mode to Audio.

  2. Choose a currently available public TTS model and one compatible voice.

  3. Keep the format on MP3, or select WAV if a downstream editor requires it.

  4. Paste a short, sourced script. For example:

    Wavelength is a fictional podcast concept created for this tutorial. In this sample episode, the host compares how a written creative brief changes across image, video, and audio workflows. The example describes a process; it does not report customer results or model-performance benchmarks.

  5. Review the request-specific credit quote shown by the widget. The quote depends on the model, requested duration, exact script size, and current pricing rules.

  6. Generate once, then listen from the first word through the final silence. Check names, numbers, pauses, speaker identity, and the ending before downloading or publishing.

No generated audio is embedded here. Previous samples were removed because their spoken claims and source metadata were not sufficiently bound for public launch evidence.

Multi-speaker status

Provider documentation may describe multi-speaker TTS, but ImageLayer’s current launch manifest intentionally declares every public audio model as single-speaker. Multi-speaker podcast generation is not part of the production launch path and fails closed.

For launch copy and onboarding, describe standalone single-speaker narration only. Treat two-host and interview output as unavailable until the workflow receives an explicit production approval, is re-enabled, and a complete generated sample passes transcript, duration, cost, and playback review.

Script review checklist

  • Use clear speaker-ready sentences instead of slide fragments.
  • Mark every fictional brand or scenario in the article and source script.
  • Remove unsupported speed, quality, ROI, customer, and market claims.
  • Define acronyms and write important numbers the way they should be spoken.
  • Keep turns, pauses, and pronunciations explicit when preparing a future multi-speaker draft.
  • Review the full audio export; file metadata alone cannot verify what was spoken.

Availability and pricing

Standalone audio availability depends on the organization’s plan, settings, admitted models, eligible credits, spend controls, and provider readiness. The signed-in widget is the source of truth for the currently admitted single-speaker request. Multi-speaker formats remain unavailable even when provider documentation describes that capability.

There is no fixed “podcast snippet” credit price in this article. Confirm the quote shown for the exact model, script, and requested duration before submission.


Keep exploring

Next steps

Open the playground to inspect the Audio interface and configuration flow. The public preview uses sample data and does not call a generation provider. For an actual standalone single-speaker request, sign in to an eligible workspace and rely on its live model admission, quote, credit, spend-control, and provider checks. For embedding and API details, see the documentation.