# vidscribe

> Use this tool when you need to transcribe video content into text format, solving problems such as inaccessible or hard-to-understand audiovisual materials. It takes a video URL as input and outputs a text transcript, supporting over 1000 websites through yt-dlp and multiple Automatic Speech Recognition (ASR) providers. Ideal for use cases like captioning, note-taking, or content analysis, where quick and accurate transcription is required.

Canonical page: https://skillsregistry.net/skills/xfwang522-vidscribe  
JSON: https://api.skillsregistry.net/v1/skills/xfwang522-vidscribe

## Description

Transcribe any video URL to text with one command, supporting 1000+ sites via yt-dlp and multiple ASR providers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x2rs4smnzu)
- **Repository:** <https://github.com/XFWang522/vidscribe>

## 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": "xfwang522-vidscribe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xfwang522-vidscribe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xfwang522-vidscribe/pull`

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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