securespeakai-sdk 0.1.2

SecureSpeakAI Python SDK for deepfake detection

SecureSpeak AI Python SDK

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

Installation

pip install securespeakai-sdk

Quick Start

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