Podcast Voiceover: AI Text-to-Speech

Solving the Automation Challenge of Text-to-Podcast Audio

Converting written materials like articles, notes, or outlines into professional podcast episode audio is a common need in content creation. The manual process involves script optimization, voiceover recording, and audio editing, which is time-consuming and requires expertise. The Podcast Voiceover: AI Text-to-Speech skill aims to automate this workflow, focusing on producing podcast episodes for a single fixed host and handling the complete text-to-audio pipeline.

Core Capabilities and Workflow

The skill manages the end-to-end process from text to audio, with key steps including:

• Opening Show Profiles: First, search for and reuse existing show configurations, such as target audience, host information, language, and delivery agreements. For new shows, these parameters must be determined in the user's work directory, and the host voice_id and model paths confirmed.

• Preparing Episode Scripts: Accept user-provided text materials and organize them into listenable scripts, including intros, outros, and chapter structures. Scripts are optimized based on the show's target audience, ensuring facts and claims are derived from user materials. Present drafts by chapter for approval.

• Determining Host and Model Paths: Use beatra.voices.list to compare available auditions and select a voice_id, and beatra.models.list to determine the appropriate TTS model. Default settings include model: "auto", MP3 format, speed 1.0, etc., unless specified otherwise.

• Standard Workflow: Follow steps of estimation, confirmation, production, and delivery. Script preparation and previews are free, but each beatra.speech.synthesize and beatra.music.generate request requires payment. Provide a confirmation card before production, listing accurate text, host settings, price estimates, and a client_request_id.

• Production and Delivery: Execute remote operations through the provided scripts/mcp_client.py, submit paid requests, and poll task status using beatra.tasks.get. Deliver the audio file along with metadata like duration, sample rate, and billing facts, and record it to the show ledger.

Applicability Boundaries and Considerations

The skill is suitable for creating single-host podcast episodes, teasers, or segments, but has clear boundary routing:

• Multi-host mixing, RSS publishing, or professional mastering should be routed to other skills, such as ai-audiobook-narration or short-form-voiceover-audio.
• Music bed generation requires separate confirmation and payment; do not fold it into the voiceover confirmation card.
• Note that each paid request cannot be automatically retried, and a new client_request_id and confirmation card are needed if parameters change.
• Scripts over 50,000 characters require segmentation by chapter for production, with each paid call listed.

By automating the text-to-audio conversion, the skill streamlines the podcast production process, but users must understand its specific applicability, payment constraints, and operational steps.