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    Tts Voice Announcer

    by Edric Vale

    1

    Turn any text into spoken audio with edge-tts: pick from 100+ neural voices, tune rate, pitch, and volume, convert to mp3, and play it back locally. Use when a

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    See it in action

    You say

    Read the content of script.txt using a British male voice. Make it sound slightly slower and deeper, then play it back.

    Your agent does

    Synthesized script.txt using en-GB-RyanNeural at -10% rate and -5Hz pitch. MP3 saved and played. MEDIA:/tmp/narration.mp3. Spoken text: "System migration initiated. Please standby for updates."

    What you get

    Automate voice alerts for CI/CD pipeline milestones.Convert long text files into MP3 narrations for offline listening.Tweak vocal delivery parameters for more natural accessibility read-outs.Rapidly prototype voice-over scripts for video production.

    About this skill

    The problem

    Generating high-quality speech usually requires expensive cloud API subscriptions or complex local model hosting. Developers need a way to add vocal announcements, accessibility read-outs, or narration to their tools without managing API keys or heavy infrastructure.

    What it does

    • Converts text or local files into MP3 audio using neural voices.
    • Provides access to over 100 high-quality Microsoft Edge neural voices across multiple locales.
    • Adjusts speaking rate, pitch, and volume via simple percentage offsets.
    • Handles local audio playback on macOS and Linux systems for immediate feedback.
    • Automates voice selection and synthesis for system alerts or script narration.

    Frameworks & tools

    Uses edge-tts via Python, afplay (macOS), and aplay or ffplay (Linux).

    Why this beats prompting it yourself

    Standard LLM prompts often hallucinate TTS commands or fail to handle shell quoting for long scripts. This skill provides a structured workflow for voice discovery, parameter tuning, and reliable file delivery with proper media attachment handling.

    Use cases

    • Announce build completions or deployment statuses in the terminal.
    • Generate scratch-track narration for video or podcast drafts.
    • Create audio versions of long-form articles for accessibility.
    • Build interactive voice responses for local automation scripts.

    Known limitations

    Requires local installation of edge-tts via pip. Not recommended for commercial redistribution or complex SSML requirements.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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