Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Update security issue
What This Skill Does
Transcribes audio and video files to timestamped text using Sber's Salute Speech async REST API. Supports Russian, English, Kazakh, Kyrgyz, and Uzbek. Produces a formatted transcript file and a raw JSON file with full timing and confidence data.
Covers Central Asian languages (Kazakh, Kyrgyz, Uzbek) that most mainstream STT services don't support.
When to use it
- Transcribing Russian-language meeting recordings
- Converting interview audio to searchable text
- Processing call center recordings with a telephony-optimized model
- Transcribing Kazakh or Uzbek audio files
- Extracting timestamped captions from podcast episodes
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Transcribe this Russian meeting recording: meeting.mp3
- 1Reads SALUTE_AUTH_DATA from the host environment
- 2Fetches a short-lived auth token from the Salute Speech API
- 3Uploads meeting.mp3 and submits an async transcription job
- 4Polls for the result until the job completes
- 5Saves the timestamped transcript and raw JSON to the output directory
A formatted .txt file with timestamped segments (e.g. [00:01 - 00:20]: ...) and a raw JSON file with hypothesis and confidence data
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.