MCPInstall

google-tts

Convert documents and text to audio using Google Cloud Text-to-Speech. Use this skill when the user wants to: narrate a document, read aloud text, generate audio from a file, convert text to speech, create a recording of documentation or analysis, create a podcast from a document, or use Google TTS/text-to-speech. Trigger phrases: "read this aloud", "narrate this", "create a recording", "text to speech", "TTS", "convert to audio", "audio from document", "listen to this", "generate audio", "google tts", "create a podcast".

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sanjay3290/ai-skills --skill google-tts
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads google-tts automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Google Cloud Text-to-Speech

Converts text and documents into audio using Google Cloud TTS API. Supports Neural2, WaveNet, Studio, and Standard voices across 40+ languages.

Setup

API key via GOOGLE_TTS_API_KEY env var or skills/google-tts/config.json with {"api_key": "..."}. Requires ffmpeg for multi-chunk documents. Optional: pip install PyPDF2 python-docx for PDF/DOCX.

Commands

List Voices

python skills/google-tts/scripts/google_tts.py voices --language en-US --type Neural2
python skills/google-tts/scripts/google_tts.py voices --json

Text-to-Speech

# From text or document (PDF, DOCX, MD, TXT)
python skills/google-tts/scripts/google_tts.py tts --text "Hello world" --output ~/Downloads/hello.mp3
python skills/google-tts/scripts/google_tts.py tts --file /path/to/doc.pdf --output ~/Downloads/narration.mp3

# With voice, rate, pitch, encoding options
python skills/google-tts/scripts/google_tts.py tts --file doc.md --voice en-US-Neural2-F --rate 0.9 --encoding MP3 --output ~/Downloads/out.mp3

Podcast Generation

Takes a JSON script with alternating speakers, synthesizes each with a different voice.

[
  {"speaker": "host1", "text": "Welcome to our podcast!"},
  {"speaker": "host2", "text": "Thanks for having me..."}
]
python skills/google-tts/scripts/google_tts.py podcast --script /tmp/script.json --output ~/Downloads/podcast.mp3
python skills/google-tts/scripts/google_tts.py podcast --script /tmp/script.json --voice1 en-US-Neural2-J --voice2 en-US-Neural2-H --rate 0.9 --output ~/Downloads/podcast.mp3

Workflow

Single-Voice Narration

  1. If user provides a file path, use --file. For generated content, write clean prose to /tmp/tts_input.md first.
  2. Default voice: en-US-Neural2-D (male) or en-US-Neural2-F (female). Use Neural2 for best quality/cost balance.
  3. Generate: python skills/google-tts/scripts/google_tts.py tts --file /tmp/tts_input.md --output ~/Downloads/recording.mp3
  4. Report file location and size. Default output to ~/Downloads/.

Podcast from Document

  1. Extract text: python skills/google-tts/scripts/extract.py /path/to/document.pdf
  2. Generate a two-host conversation script as JSON:
    • Natural discussion, not verbatim reading. Host 1 leads, Host 2 reacts/analyzes.
    • Include intro and outro. Vary turn lengths. Keep turns under 4000 chars.
  3. Write script to /tmp/podcast_script.json
  4. Generate: python skills/google-tts/scripts/google_tts.py podcast --script /tmp/podcast_script.json --output ~/Downloads/podcast.mp3
  5. Clean up temp files.

Reference

  • Recommended voice type: Neural2 (~$4/1M chars, high quality)
  • Speaking rate: 0.25-4.0 (0.85-0.95 good for technical content)
  • Pitch: -20.0 to 20.0 semitones
  • Encodings: MP3 (default), LINEAR16 (.wav), OGG_OPUS (.ogg)
  • API limit: 5000 bytes/request. Script auto-chunks at sentence boundaries.

FAQ

What does the google-tts skill do?

Convert documents and text to audio using Google Cloud Text-to-Speech. Use this skill when the user wants to: narrate a document, read aloud text, generate audio from a file, convert text to speech, create a recording of documentation or analysis, create a podcast from a document, or use Google TTS/text-to-speech. Trigger phrases: "read this aloud", "narrate this", "create a recording", "text to speech", "TTS", "convert to audio", "audio from document", "listen to this", "generate audio", "google tts", "create a podcast".

How do I install google-tts?

Run npx skills add https://github.com/sanjay3290/ai-skills --skill google-tts in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/google-tts/ (personal) or .claude/skills/google-tts/ (project).

Which AI agents can use google-tts?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is google-tts safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains google-tts?

It is published by sanjay3290 in sanjay3290/ai-skills. It has 335 recorded installs.

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