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BytesAgain β€Ί Skills β€Ί it will help you to send voice messages to your AI Assistant and also can make it talk
πŸ¦€ ClawHub

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

by @amreahmed

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.

Versionv1.0.0
Downloads2,983
Installs21
Stars⭐ 1
#writing#video#audio#translation#legal
TERMINAL
clawhub install elevenlabs-voice

πŸ“– About This Skill

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 β€” both TTS and STT using one API:

  • TTS: Text-to-Speech (high-quality voices)
  • STT: Speech-to-Text via Scribe (accurate transcription)

    • Quick Start

    Environment Setup

    Set your API key: 

    export ELEVENLABS_API_KEY="sk_..."

    Or create .env file in workspace root.

    Text-to-Speech (TTS)

    Convert text to natural-sounding speech:

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

    With custom voice: 

    python scripts/elevenlabs_speech.py tts -t "Hello" -v "voice_id_here" -o output.mp3

    List Available Voices

    python scripts/elevenlabs_speech.py voices

    Using in Code

    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:

    # 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

    python scripts/elevenlabs_scribe.py voice_message.ogg

    With specific language: 

    python scripts/elevenlabs_scribe.py voice_message.ogg --language ara

    With speaker diarization (multiple speakers): 

    python scripts/elevenlabs_scribe.py voice_message.ogg --speakers 2

    Using in Code

    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 β†’ You reply with voice:

    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

    • πŸ’‘ Examples

    Environment Setup

    Set your API key: 

    export ELEVENLABS_API_KEY="sk_..."

    Or create .env file in workspace root.

    Text-to-Speech (TTS)

    Convert text to natural-sounding speech:

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

    With custom voice: 

    python scripts/elevenlabs_speech.py tts -t "Hello" -v "voice_id_here" -o output.mp3

    List Available Voices

    python scripts/elevenlabs_speech.py voices