Technical Details
Our technology uses advanced feature extraction algorithms and deep neural networks to accurately detect differences between real and fake audio and image files. The APIs are scalable and can process large amounts of data efficiently, making them ideal for companies with high security requirements.
Supported data formats
Supported audio formats: MP3, WAV, FLAC, and other common audio formats.
Data format: JSON-based communication to facilitate integration into a wide range of applications.
Authentication and security
OAuth 2.0: For secure and controlled API usage, we offer authentication via OAuth 2.0.
Encrypted data transmission: All data is transmitted via HTTPS to ensure security and data protection.
Rate limiting: Protection against overloading through configurable rate limiting mechanisms.
Performance features
Real-time processing: Our API is optimized for low latency and can analyze audio data in real time.
Scalable architecture: The API is horizontally scalable and can be operated on smaller systems as well as in large, distributed environments.
Fault tolerance: Integrated mechanisms for fault tolerance and recovery guarantee reliable operation, even under difficult conditions.
Documentation and developer support
Comprehensive API documentation: Detailed instructions and examples for implementing and using our API.
Strengths
Real-time detection
Identify audio and image deepfakes immediately, without delay.
High precision
Our algorithms have been specially trained to recognize even the most subtle manipulations.
Scalability
Whether small applications or large enterprise systems, our APIs adapt to your needs.
