Google Messages: Soon an Alert for AI-Generated Images

Google Messages Takes on AI-Generated Images

Users of Google Messages will soon benefit from a new feature that allows them to distinguish between authentic images and those generated by artificial intelligence. This innovation aims to facilitate the detection of modified or AI-created content in conversations.

Google, which continues to enhance its messaging app, has already introduced features such as real-time location sharing, chat customization, and tagging a contact in a group conversation. Now, the tech giant is addressing a growing issue: the proliferation of AI-generated images and videos, which makes it difficult to tell the real from the fake.

A Detection Technology in Development

Three years ago, Google launched SynthID, a tool that integrates watermarks to identify AI-generated content. Since 2025, this tool has been incorporated into Gemini, allowing users to verify the authenticity of images via a chatbot.

However, Google wants to simplify this process even further. According to a recent analysis of the source code from a beta version of Google Messages, named “messages.android_20260611_04_RC00.phone.openbeta_dynamic,” developers are working on a feature that will allow users to know directly if a shared image was created or modified by AI. This discovery was made by the team at Android Authority.

Labels to Clarify the Origin of Images

The code analysis reveals the existence of several new tags, such as:

• "Content created using AI"
• "Modified using multiple AI tools"
• "Parts of this media may include AI content"
• "Multiple media elements combined, some created using AI"

In total, nearly twenty labels are planned to inform users about the extent of AI involvement in the creation or modification of images. By clicking on an image and then selecting “View details” in a conversation thread, users will be able to determine if an image is real or fake. Although this feature is not yet operational and Google has not officially commented on it, it could represent a significant advancement in the transparency of digital exchanges.