amreahmed

it will help you to send voice messages to your AI Assistant and also can make it talk

设计创意v1.0.0
作者:amreahmed更新于 2026-05-11elevenlabs-voice@clawhub_amreahmed/elevenlabs-voice
音频处理#Speech-to-Text#Text-to-Speech#Transcription#Transcribe

据 AlphaMoat 统计,截至 2026-09,it will help you to send voice messages to your AI Assistant and also can make it talk 累计下载 4,175 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,406 位,在「设计创意」分类(512 个)中排名第 231 位。

累计安装
559
累计下载
4,175
星标
1
全站排名
#2,406
全站前 48% · 「设计创意」前 46%
平台累计安装累计下载星标评论
ClawHub ↗1173,4361-
SkillHub ↗5594,1751—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

TTS 出高质量人声,STT 走 Scribe 做转写;stability 越低情绪越强、越高越稳,不指定语言时会自动识别。单语模型只支持英文,密钥配在 ELEVENLABS_API_KEY。选中的文本和音频会发送到 ElevenLabs API。只提交获准外部处理的内容,避免高敏感录音;使用专用 API key,不要在该技能的 .env 中混放其他密钥。

资料发布于 2026-10-27

可以用来做什么

  • 把文稿转成多语言配音
  • 把语音消息转成文字

什么时候用

  • 需要自然度较高的配音时
  • 要转写多语言音频时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

把这段文案做成英文配音
把这条语音转成文字

月度数据趋势

累计下载4,175
2,7713,5254,2792026-03 · 累计下载 2,8752026-05 · 累计下载 3,2002026-06 · 累计下载 3,0802026-07 · 累计下载 3,5292026-08 · 累计下载 3,6502026-09 · 累计下载 4,17526-0326-09
星标1
0122026-03 · 星标 12026-05 · 星标 12026-06 · 星标 12026-07 · 星标 12026-08 · 星标 12026-09 · 星标 126-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,175—1
2026-083,650+3.4%1
2026-073,529+14.6%1
2026-063,080-3.8%1
2026-053,200—1
2026-032,875—1

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

4.7 KB · ClawHub v1.0.0
---
name: elevenlabs-speech
description: Text-to-Speech and Speech-to-Text using ElevenLabs AI. Use when the user wants to convert text to speech, transcribe voice messages, or work with voice in multiple languages. Supports high-quality AI voices and accurate transcription.
---

# ElevenLabs Speech

Complete voice solution — both TTS and STT using one API:
- **TTS**: Text-to-Speech (high-quality voices)
- **STT**: Speech-to-Text via Scribe (accurate transcription)
展开全部(共 204 行)

## Quick Start

### Environment Setup

Set your API key:
```bash
export ELEVENLABS_API_KEY="sk_..."
```

Or create `.env` file in workspace root.

### Text-to-Speech (TTS)

Convert text to natural-sounding speech:

```bash
python scripts/elevenlabs_speech.py tts -t "Hello world" -o greeting.mp3
```

With custom voice:
```bash
python scripts/elevenlabs_speech.py tts -t "Hello" -v "voice_id_here" -o output.mp3
```

### List Available Voices

```bash
python scripts/elevenlabs_speech.py voices
```

## Using in Code

```python
from scripts.elevenlabs_speech import ElevenLabsClient

client = ElevenLabsClient(api_key="sk_...")

# Basic TTS
result = client.text_to_speech(
    text="Hello from zerox",
    output_path="greeting.mp3"
)

# With custom settings
result = client.text_to_speech(
    text="Your text here",
    voice_id="21m00Tcm4TlvDq8ikWAM",  # Rachel
    stability=0.5,
    similarity_boost=0.75,
    output_path="output.mp3"
)

# Get available voices
voices = client.get_voices()
for voice in voices['voices']:
    print(f"{voice['name']}: {voice['voice_id']}")
```

## Popular Voices

| Voice ID | Name | Description |
|----------|------|-------------|
| `21m00Tcm4TlvDq8ikWAM` | Rachel | Natural, versatile (default) |
| `AZnzlk1XvdvUeBnXmlld` | Domi | Strong, energetic |
| `EXAVITQu4vr4xnSDxMaL` | Bella | Soft, soothing |
| `ErXwobaYiN019PkySvjV` | Antoni | Well-rounded |
| `MF3mGyEYCl7XYWbV9V6O` | Elli | Warm, friendly |
| `TxGEqnHWrfWFTfGW9XjX` | Josh | Deep, calm |
| `VR6AewLTigWG4xSOukaG` | Arnold | Authoritative |

## Voice Settings

- **stability** (0-1): Lower = more emotional, Higher = more stable
- **similarity_boost** (0-1): Higher = closer to original voice

Default: stability=0.5, similarity_boost=0.75

## Models

- `eleven_turbo_v2_5` - Fast, high quality (default)
- `eleven_multilingual_v2` - Best for non-English
- `eleven_monolingual_v1` - English only

## Integration with Telegram

When user sends text and wants voice reply:

```python
# Generate speech
result = client.text_to_speech(text=user_text, output_path="reply.mp3")

# Send via Telegram message tool with media path
message(action="send", media="path/to/reply.mp3", as_voice=True)
```

## Pricing

Check https://elevenlabs.io/pricing for current rates. Free tier available!

## Speech-to-Text (STT) with ElevenLabs Scribe

Transcribe voice messages using ElevenLabs Scribe:

### Transcribe Audio

```bash
python scripts/elevenlabs_scribe.py voice_message.ogg
```

With specific language:
```bash
python scripts/elevenlabs_scribe.py voice_message.ogg --language ara
```

With speaker diarization (multiple speakers):
```bash
python scripts/elevenlabs_scribe.py voice_message.ogg --speakers 2
```

### Using in Code

```python
from scripts.elevenlabs_scribe import ElevenLabsScribe

client = ElevenLabsScribe(api_key="sk-...")

# Basic transcription
result = client.transcribe("voice_message.ogg")
print(result['text'])

# With language hint (improves accuracy)
result = client.transcribe("voice_message.ogg", language_code="ara")

# With speaker detection
result = client.transcribe("voice_message.ogg", num_speakers=2)
```

### Supported Formats

- mp3, mp4, mpeg, mpga, m4a, wav, webm
- Max file size: 100 MB
- Works great with Telegram voice messages (`.ogg`)

### Language Support

Scribe supports 99 languages including:
- Arabic (`ara`)
- English (`eng`)
- Spanish (`spa`)
- French (`fra`)
- And many more...

Without language hint, it auto-detects.

## Complete Workflow Example

**User sends voice message → You reply with voice:**

```python
from scripts.elevenlabs_scribe import ElevenLabsScribe
from scripts.elevenlabs_speech import ElevenLabsClient

# 1. Transcribe user's voice message
stt = ElevenLabsScribe()
transcription = stt.transcribe("user_voice.ogg")
user_text = transcription['text']

# 2. Process/understand the text
# ... your logic here ...

# 3. Generate response text
response_text = "Your response here"

# 4. Convert to speech
tts = ElevenLabsClient()
tts.text_to_speech(response_text, output_path="reply.mp3")

# 5. Send voice reply
message(action="send", media="reply.mp3", as_voice=True)
```

## Pricing

Check https://elevenlabs.io/pricing for current rates:

**TTS (Text-to-Speech):**
- Free tier: 10,000 characters/month
- Paid plans available

**STT (Speech-to-Text) - Scribe:**
- Free tier available
- Check website for current pricing

「设计创意」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。