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.