# voice-to-text

> Use this tool when you need to transcribe voice messages or audio files into text format, solving problems such as manual transcription and inaccessibility of audio content. It takes audio files or voice messages as input and produces written text as output, utilizing Vosk offline speech recognition. Ideal for use cases where audio data needs to be converted into a readable format, such as interviews, lectures, or meetings.

Canonical page: https://skillsregistry.net/skills/vae999-voice-to-text  
JSON: https://api.skillsregistry.net/v1/skills/vae999-voice-to-text

## Description

Convert voice messages and audio files to text using Vosk offline speech recognition.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/vae999-voice-to-text)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vae999-voice-to-text"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vae999-voice-to-text` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vae999-voice-to-text/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt