Screenshot of Truebees

Truebees

Discover what Truebees is and how to use it effectively in 2025. We'll explore its features and see how it stacks up against other lawyer tools.

Screenshot

What is Truebees?

TrueBees is a groundbreaking system, developed by U-Hopper in collaboration with researchers from the University of Trento. Its main purpose is to tackle the spread of AI-generated images across social media. It cleverly combines advanced AI, digital image forensics, and blockchain technology. This powerful mix helps validate the authenticity of visual content created by users, especially when it comes to spotting synthetic face images. In fact, it’s incredibly accurate, detecting these fake faces with an impressive 97.99% success rate. TrueBees is built for media professionals and law firms, offering features like deepfake detection, simple API integration, robust blockchain security, and solutions customized for different industry needs. Ultimately, it’s a vital tool for stopping the spread of disinformation and keeping online content trustworthy.

Who created Truebees?

TrueBees got its start in 2022, thanks to U-Hopper, a deep-tech small and medium-sized enterprise, and a dedicated team of researchers from the Department of Information Engineering and Computer Science at the University of Trento. The company was actually founded with the specific goal of combating the growing problem of AI-generated images appearing on social networks. With backing from the TruBlo project, which is an EU-funded initiative under the Next Generation Internet (NGI) program, TrueBees was able to develop a truly innovative solution. This solution seamlessly integrates AI digital image forensics with blockchain technology, ensuring that user-generated visual content is both safe and reliable.

What is Truebees used for?

  • It makes fact-checking quick and easy for press and news agency collaborators.
  • It helps media outlets coordinate their news editing and publish with greater confidence.
  • It offers freelance journalists solid guarantees about the trustworthiness of their content.
  • It provides lawyers and legal advisors with concrete evidence regarding the authenticity of pictures.

Who is Truebees for?

  • Press and news agencies
  • Media outlets
  • Freelance journalists
  • Lawyers and legal advisors

How to use Truebees?

Ready to start using TrueBees? It’s pretty straightforward. Just follow these steps:

  1. First, you’ll need to create an account and add a payment method to get going.
  2. Next, you have a choice: you can verify an image directly on the TrueBees platform, or if you prefer, you can have your developer integrate TrueBees’ APIs into your own systems.
  3. To make sure you don’t accidentally share any AI-generated images, it’s a good idea to have TrueBees verify every image before you share it.
  4. Just so you know, TrueBees boasts an impressive accuracy rate of 97.99% when it comes to detecting images that are entirely AI-generated.
  5. TrueBees are a smart blend of cutting-edge research and practical business solutions. This makes it a really valuable tool for anyone working in media or providing legal services.
  6. Remember, this tool came about through a great collaboration between U-Hopper and researchers from the University of Trento, with crucial support from TruBlo, a project funded by the EU.
  7. TrueBees really shines because it uses advanced AI technology, digital forensics, and blockchain to accurately detect AI-generated portraits.
  8. Key features include comprehensive deepfake detection, super easy integration, blockchain technology for secure data handling, and solutions that are specifically tailored for different industries, like press agencies and legal advisors.
  9. By choosing to use TrueBees, you’re actively helping in the fight against disinformation and contributing to the overall integrity of social media and online content.
  10. So, go ahead and sign up to start using TrueBees. You’ll be able to take advantage of its state-of-the-art capabilities for authenticating visual content.

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