Install
openclaw skills install zvukogramText-to-Speech via Zvukogram API with SSML support. Use when you need to generate speech from text, create podcasts, voice notifications, or work with audio....
openclaw skills install zvukogramSpeech generation via Zvukogram API with SSML markup support.
To use this skill, you need:
Create file ~/.config/zvukogram/config.json:
mkdir -p ~/.config/zvukogram
{
"token": "your_api_token_here",
"email": "your_email@example.com"
}
Or use environment variables:
export ZVUKOGRAM_TOKEN=your_api_token_here
export ZVUKOGRAM_EMAIL=your_email@example.com
# Simple TTS
python3 scripts/tts.py --text "Hello, world!" --voice Алена --output hello.mp3
# With +20% speed
python3 scripts/tts.py --text "Fast text" --voice Алена --speed 1.2 --output fast.mp3
# Check balance
python3 scripts/balance.py
Use + before stressed vowel:
З+амок — stress on "a"
зам+ок — stress on "o"
<sub alias="Оупен Эй Ай">OpenAI</sub>
<sub alias="Самсунг">Samsung</sub>
<sub alias="Ал+ьтман">Альтман</sub>
<prosody rate="1.2">20% faster</prosody>
<prosody rate="fast">Fast text</prosody>
<break time="500ms"/>
Full list: see references/VOICES.md
See references/EXAMPLES.md for:
See references/TRANSCRIPTION.md for proper pronunciation:
say-as modes with extra patterns: references/say-as.md+, <sub>, <phoneme>): references/pronunciation-patterns.mdSee references/TROUBLESHOOTING.md for:
/text vs /longtext vs chunking: references/chunking-and-method-choice.md/text: max 1000 characters per request/longtext and /subs: up to 1,000,000 characters<voice> wrappers.