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elevenlabs-stt

Transcribe audio files using ElevenLabs Speech-to-Text (Scribe v2).

clawdbotborges0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install clawdbotborges/elevenlabs-stt

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

ElevenLabs Speech-to-Text

Transcribe audio files using ElevenLabs' Scribe v2 model. Supports 90+ languages with speaker diarization.

Quick Start

# Basic transcription
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3

# With speaker diarization
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --diarize

# Specify language (improves accuracy)
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --lang en

# Full JSON output with timestamps
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --json

Options

Flag Description
--diarize Identify different speakers
--lang CODE ISO language code (e.g., en, pt, es)
--json Output full JSON with word timestamps
--events Tag audio events (laughter, music, etc.)

Supported Formats

All major audio/video formats: mp3, m4a, wav, ogg, webm, mp4, etc.

API Key

Set ELEVENLABS_API_KEY environment variable, or configure in clawdbot.json:

{
  skills: {
    entries: {
      "elevenlabs-stt": {
        apiKey: "sk_..."
      }
    }
  }
}

Examples

# Transcribe a WhatsApp voice note
{baseDir}/scripts/transcribe.sh ~/Downloads/voice_note.ogg

# Meeting recording with multiple speakers
{baseDir}/scripts/transcribe.sh meeting.mp3 --diarize --lang en

# Get JSON for processing
{baseDir}/scripts/transcribe.sh podcast.mp3 --json > transcript.json

来源信息

Source
github
Repository
openclaw/skills
Path
skills/clawdbotborges/elevenlabs-stt
Version
—
Commit
6026e08ae3201fc1fa6b202cc2c77ed405210020
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

🎙️ ElevenLabs Speech-to-Text Skill

A Clawdbot skill for transcribing audio files using ElevenLabs' Scribe v2 model.

Features

  • 🌍 90+ languages supported with automatic detection
  • 👥 Speaker diarization — identify different speakers
  • 🎵 Audio event tagging — detect laughter, music, applause, etc.
  • 📝 Word-level timestamps — precise timing in JSON output
  • 🎧 All major formats — mp3, m4a, wav, ogg, webm, mp4, and more

Installation

For Clawdbot

Add to your clawdbot.json:

{
  skills: {
    entries: {
      "elevenlabs-stt": {
        source: "github:clawdbotborges/elevenlabs-stt",
        apiKey: "sk_your_api_key_here"
      }
    }
  }
}
Standalone
git clone https://github.com/clawdbotborges/elevenlabs-stt.git
cd elevenlabs-stt
export ELEVENLABS_API_KEY="sk_your_api_key_here"

Usage

# Basic transcription
./scripts/transcribe.sh audio.mp3

# With speaker diarization
./scripts/transcribe.sh meeting.mp3 --diarize

# Specify language for better accuracy
./scripts/transcribe.sh voice_note.ogg --lang en

# Full JSON with timestamps
./scripts/transcribe.sh podcast.mp3 --json

# Tag audio events (laughter, music, etc.)
./scripts/transcribe.sh recording.wav --events

Options

Flag Description
--diarize Enable speaker diarization
--lang CODE ISO language code (e.g., en, pt, es, fr)
--json Output full JSON response with word timestamps
--events Tag audio events like laughter, music, applause
-h, --help Show help message

Examples

Transcribe a voice message
./scripts/transcribe.sh ~/Downloads/voice_note.ogg
# Output: "Hey, just wanted to check in about the meeting tomorrow."
Meeting with multiple speakers
./scripts/transcribe.sh meeting.mp3 --diarize --lang en --json
{
  "text": "Welcome everyone. Let's start with updates.",...

来源内容

SKILL.md
# ElevenLabs Speech-to-Text

Transcribe audio files using ElevenLabs' Scribe v2 model. Supports 90+ languages with speaker diarization.

## Quick Start

```bash
# Basic transcription
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3

# With speaker diarization
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --diarize

# Specify language (improves accuracy)
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --lang en

# Full JSON output with timestamps
{baseDir}/scripts/transcribe.sh /path/to/audio.mp3 --json
```

## Options

| Flag | Description |
|------|-------------|
| `--diarize` | Identify different speakers |
| `--lang CODE` | ISO language code (e.g., en, pt, es) |
| `--json` | Output full JSON with word timestamps |
| `--events` | Tag audio events (laughter, music, etc.) |

## Supported Formats

All major audio/video formats: mp3, m4a, wav, ogg, webm, mp4, etc.

## API Key

Set `ELEVENLABS_API_KEY` environment variable, or configure in clawdbot.json:

```json5
{
  skills: {
    entries: {
      "elevenlabs-stt": {
        apiKey: "sk_..."
      }
    }
  }
}
```

## Examples

```bash
# Transcribe a WhatsApp voice note
{baseDir}/scripts/transcribe.sh ~/Downloads/voice_note.ogg

# Meeting recording with multiple speakers
{baseDir}/scripts/transcribe.sh meeting.mp3 --diarize --lang en

# Get JSON for processing
{baseDir}/scripts/transcribe.sh podcast.mp3 --json > transcript.json
```
README
# 🎙️ ElevenLabs Speech-to-Text Skill

A [Clawdbot](https://github.com/clawdbot/clawdbot) skill for transcribing audio files using ElevenLabs' Scribe v2 model.

## Features

- 🌍 **90+ languages** supported with automatic detection
- 👥 **Speaker diarization** — identify different speakers
- 🎵 **Audio event tagging** — detect laughter, music, applause, etc.
- 📝 **Word-level timestamps** — precise timing in JSON output
- 🎧 **All major formats** — mp3, m4a, wav, ogg, webm, mp4, and more

## Installation

### For Clawdbot

Add to your `clawdbot.json`:

```json5
{
  skills: {
    entries: {
      "elevenlabs-stt": {
        source: "github:clawdbotborges/elevenlabs-stt",
        apiKey: "sk_your_api_key_here"
      }
    }
  }
}
```

### Standalone

```bash
git clone https://github.com/clawdbotborges/elevenlabs-stt.git
cd elevenlabs-stt
export ELEVENLABS_API_KEY="sk_your_api_key_here"
```

## Usage

```bash
# Basic transcription
./scripts/transcribe.sh audio.mp3

# With speaker diarization
./scripts/transcribe.sh meeting.mp3 --diarize

# Specify language for better accuracy
./scripts/transcribe.sh voice_note.ogg --lang en

# Full JSON with timestamps
./scripts/transcribe.sh podcast.mp3 --json

# Tag audio events (laughter, music, etc.)
./scripts/transcribe.sh recording.wav --events
```

## Options

| Flag | Description |
|------|-------------|
| `--diarize` | Enable speaker diarization |
| `--lang CODE` | ISO language code (e.g., `en`, `pt`, `es`, `fr`) |
| `--json` | Output full JSON response with word timestamps |
| `--events` | Tag audio events like laughter, music, applause |
| `-h, --help` | Show help message |

## Examples

### Transcribe a voice message

```bash
./scripts/transcribe.sh ~/Downloads/voice_note.ogg
# Output: "Hey, just wanted to check in about the meeting tomorrow."
```

### Meeting with multiple speakers

```bash
./scripts/transcribe.sh meeting.mp3 --diarize --lang en --json
```

```json
{
  "text": "Welcome everyone. Let's start with updates.",...

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