
Syntonym
Utilize advanced generative AI technology to instantly create anonymous, hyper-realistic faces in videos and images, ensuring privacy protection in real time.
About Syntonym
Syntonym's cutting-edge face generation technology produces unique, anonymous faces instantly across mobile, cloud, or local platforms. It offers a secure solution for safeguarding privacy and anonymity in videos and images. By integrating generative AI for privacy, Syntonym enables hyper-realistic face anonymization, transforming how individuals are recorded and protected. It seamlessly embeds as a privacy layer into any video platform, supporting interactive communication and open exchange. Compliant with privacy regulations, it removes biometric data while maintaining high-quality, lossless anonymization in real time. Additionally, Syntonym facilitates analytics and training data creation by processing recordings in a GDPR-compliant manner, unlocking new potential for secure data use.
How to Use
Upload your images or videos to Syntonym's cloud or local platform and download the anonymized outputs. Alternatively, integrate Syntonym's SDK into your existing systems for seamless real-time privacy protection.
Features
- Flexible deployment on cloud or on-premise
- Generation of synthetic, anonymous faces
- Overlay of synthetic license plates
- Biometric data removal for privacy
- Instant, lossless face anonymization
- Ensures compliance with privacy regulations
- Mobile SDK for easy integration
Use Cases
- Anonymizing faces in video footage for mobility applications
- Creating GDPR-compliant training datasets
- Securing privacy in video conferencing
- Enhancing privacy in digital communication platforms
Best For
Pros
- Provides robust privacy and anonymity
- Ensures compliance with GDPR and privacy laws
- Delivers real-time, lossless anonymization
- Maintains analytical data integrity
- Boosts user trust through enhanced privacy
- Offers versatile deployment options including cloud, on-premise, and mobile
Cons
- May require integration effort for existing systems
- Dependent on the accuracy of face detection algorithms
- Potential computational load during real-time processing
