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

# 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)

## 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