zvukogram
Text-to-Speech via Zvukogram API with SSML support.
Setup & Installation
Install command
clawhub install erview/zvukogramIf the CLI is not installed:
Install command
npx clawhub@latest install erview/zvukogramOr install with OpenClaw CLI:
Install command
openclaw skills install erview/zvukogramor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/erview/zvukogramWhat This Skill Does
Generates speech from text using the Zvukogram API. Supports SSML markup for stress marks, pauses, and speed control. Can merge multiple audio fragments and handle English word transcription for Russian TTS.
SSML support with per-word stress control and English transcription aliases gives more accurate Russian-language output than basic TTS APIs.
When to Use It
- Converting written articles to audio files
- Adding voice notifications to automated pipelines
- Recording podcast narration with multiple voices
- Voicing news scripts with proper pronunciation control
- Generating audio from long-form text documents
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Converting written articles to audio files
- 1Converting written articles to audio files
- 2Adding voice notifications to automated pipelines
- 3Recording podcast narration with multiple voices
- 4Voicing news scripts with proper pronunciation control
- 5Generating audio from long-form text documents
Text-to-Speech via Zvukogram API with SSML support.
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.
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