# SecureSpeak AI Python SDK

The official Python SDK for SecureSpeak AI — Professional deepfake detection with 99.7% accuracy.

## Installation

```bash
pip install securespeakai-sdk
```

## Quick Start

```python
from securespeak import SecureSpeakClient

# Initialize client with your API key
client = SecureSpeakClient("your-api-key-here")

# Analyze a local audio file
result = client.analyze_file("suspicious_audio.wav")

# Check if it's a deepfake
if result['is_deepfake']:
    print(f"DEEPFAKE DETECTED! Confidence: {result['confidence_score']}%")
else:
    print(f"Authentic audio. Confidence: {result['confidence_score']}%")
```

## Available Methods

- `analyze_file(file_path)` - Analyze local audio files
- `analyze_url(url)` - Analyze audio from URLs
- `analyze_live(file_path)` - Real-time analysis with per-second billing

## Response Format

All methods return a JSON response containing:
- `is_deepfake` (boolean) - Whether the audio is detected as fake
- `confidence_score` (float) - Confidence percentage (0-100)
- `authenticity_score` (float) - Score from 0.0 (fake) to 1.0 (authentic)
- `analysis_time_ms` (integer) - Processing time in milliseconds

## Requirements

- Python 3.7 or higher
- Valid SecureSpeak AI API key

## Documentation

For complete documentation, examples, pricing, and API reference, visit: https://securespeakai.com/docs

## Support

- Website: https://securespeakai.com
- Dashboard: https://securespeakai.com/dashboard
- Support: https://securespeakai.com/support

## License

MIT License
