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
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Complete voice solution — both TTS and STT using one API:
Set your API key:
export ELEVENLABS_API_KEY="sk_..."
Or create
.envConvert 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
python scripts/elevenlabs_speech.py voices
from scripts.elevenlabs_speech import ElevenLabsClientclient = 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']}")
| Voice ID | Name | Description |
|---|---|---|
| Rachel | Natural, versatile (default) |
| Domi | Strong, energetic |
| Bella | Soft, soothing |
| Antoni | Well-rounded |
| Elli | Warm, friendly |
| Josh | Deep, calm |
| Arnold | Authoritative |
Default: stability=0.5, similarity_boost=0.75
eleven_turbo_v2_5eleven_multilingual_v2eleven_monolingual_v1When 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)
Check https://elevenlabs.io/pricing for current rates. Free tier available!
Transcribe voice messages using ElevenLabs Scribe:
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
from scripts.elevenlabs_scribe import ElevenLabsScribeclient = 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)
.oggScribe supports 99 languages including:
araengspafraWithout language hint, it auto-detects.
User sends voice message → You reply with voice:
from scripts.elevenlabs_scribe import ElevenLabsScribe from scripts.elevenlabs_speech import ElevenLabsClient1. 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)
Check https://elevenlabs.io/pricing for current rates:
TTS (Text-to-Speech):
STT (Speech-to-Text) - Scribe:
No automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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