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What is SynthID?
We are thrilled to unveil the beta version of SynthID, an innovative tool specifically created for watermarking and identifying images generated by AI. At this time, SynthID is accessible to a select group of Vertex AI users who are utilizing Imagen, one of our latest models that transforms text prompts into breathtaking photorealistic images.
This cutting-edge tool enables users to effortlessly incorporate an invisible digital watermark into their AI-generated artwork, allowing them to verify whether Imagen played a role in the image's creation or in certain aspects of it.
Recognizing AI-created content is vital for building trust within the information ecosystem. While it may not completely eliminate the challenges posed by misinformation, SynthID signifies an important step forward in addressing the pressing concerns related to AI safety.
Created by Google DeepMind and refined through partnerships with Google Research, this technology has the potential to be adapted for various AI models, and we are eager to incorporate it into more products in the near future. As the field of AI evolves, SynthID is positioned to be a fundamental tool in promoting transparency and responsibility in digital media, ultimately benefiting users and creators alike.
What is Synth?
Synth is a powerful open-source tool tailored for data-as-code, designed to streamline the creation of consistent and scalable datasets via a user-friendly command-line interface. This innovative tool allows users to generate precise and anonymized datasets that mimic production data, making it particularly useful for developing test data fixtures essential for development, testing, and continuous integration. It empowers developers to craft data narratives by specifying constraints, relationships, and semantics tailored to their unique needs. Moreover, Synth facilitates the seeding of both development and testing environments while ensuring that sensitive production data remains anonymized. With Synth, you can produce realistic datasets that align with your specific requirements. By utilizing a declarative configuration language, users can define their entire data model as code, enhancing clarity and maintainability. Additionally, it effectively imports data from various existing sources, allowing for the generation of accurate and adaptable data models. Supporting both semi-structured data and a diverse range of database types, Synth is compatible with SQL and NoSQL databases, making it a highly flexible solution. It also supports an extensive array of semantic types, such as credit card numbers and email addresses, providing comprehensive data generation capabilities. Ultimately, Synth emerges as an indispensable tool for anyone seeking to optimize their data generation processes efficiently, ensuring that the generated data meets their specific requirements while maintaining high standards of privacy and security.
Integrations Supported
Gemini 2.5 Flash Image
Gemini 3 Pro Image
Gemini Robotics
Lyria
MusicFX
Vertex AI
VideoFX
Integrations Supported
Gemini 2.5 Flash Image
Gemini 3 Pro Image
Gemini Robotics
Lyria
MusicFX
Vertex AI
VideoFX
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
www.deepmind.com/synthid
Company Facts
Organization Name
Synth
Company Website
www.getsynth.com