Meta Builds AI Detection Tool to Identify Images and Video Created With Its New Models

Wed, 08 Jul 2026 00:00:00 +0000

Meta has unveiled a new web-based detection tool to identify images and videos created with its latest AI models. The tool detects invisible watermarks embedded through its proprietary “Content Seal” system.

Meta’s new Content Seal watermarking system aims to provide a reliable way to identify AI-generated images and videos. (Image: geralt / Pixabay)

What Is Content Seal?

Content Seal is Meta’s invisible watermarking technology that remains embedded in media “even when cropped, compressed, resized, or screenshotted.” Unlike earlier versions of Meta AI that placed a small visible logo on generated images, the new system is entirely invisible to the naked eye.

The technology is currently integrated with Muse Image, Meta’s latest image generation model. While the version shipping with Muse Image is proprietary, Meta has previously released open-source versions of similar watermarking technology.

How the Detection Tool Works

The web-based interface lets users upload images to check for a Content Seal watermark. A positive result means the image was generated or edited using Meta AI, while a negative result means it’s “unlikely” the image was processed with Meta’s tools. Early tests by Engadget confirmed the tool successfully detects watermarks on AI-generated images, AI-edited photographs, and even screenshots of AI content.

Limitations and Gaps

The tool currently only works with Muse Image — older Meta AI models are not supported. Content Seal is also incompatible with SynthID or C2PA Content Credentials, two established watermarking methods used elsewhere. Additionally, the tool enforces a daily rate limit on checks, limiting its practicality for widespread use.

Oversight Board Concerns

Meta has faced criticism over its inconsistent AI labeling. The Oversight Board earlier this year flagged concerns that Meta was “inconsistently implementing” digital watermarks on AI content. Notably, the detection feature has not been integrated into the Meta AI app itself — when asked about an image the web tool had already flagged, Meta’s app assistant said it lacked the ability to detect AI-generated content.

What’s Next

Meta plans to expand Content Seal to AI-generated and edited videos. The company is also developing Muse Video, a video generation model described as “coming soon.” For now, the detection tool remains a web-only feature with limited model support, and Meta has not announced when it will integrate the capability into its apps.

Meta's New Muse Image Model Accepts Instagram Accounts As a Prompt

Wed, 08 Jul 2026 00:00:00 +0000

Meta has launched Muse Image, the first AI image generation model developed by its new Meta Superintelligence Labs, bringing advanced image creation and editing capabilities to the Meta AI app, Instagram, and WhatsApp across the United States.

Muse Image is available now through the Meta AI app, Instagram, and WhatsApp across the US. (Image: Pixabay)

What Is Muse Image?

Muse Image is Meta’s latest family of AI models, following the launch of Muse Spark earlier this year. According to Meta, the model uses “advanced reasoning to understand complex prompts, seamlessly blending multiple photos into high-quality creations.” It can generate images across a wide variety of formats and styles, and supports conversational prompts that let users refine their creations through natural language.

One standout feature is the model’s ability to generate functional QR codes and produce legible text within images — an area where many competing AI image generators still struggle.

Instagram Accounts As Prompts

The most attention-grabbing feature is the ability to use Instagram accounts directly as prompts. Tagging a friend’s Instagram account can incorporate their likeness into a generated image, similar to the viral interest OpenAI previously generated with its now-defunct Sora video app. Meta says the same privacy controls users have for photo reuse on Instagram apply to this feature.

Like Google’s Gemini, Meta is connecting its AI model to its ecosystem. Users can take a picture of their room and ask Meta AI to redecorate — the model can pull furniture listings from the web and Facebook Marketplace to create realistic mockups.

Instagram Stories and WhatsApp Integration

Muse Image is powering over 30 new effects for Instagram Stories, including a disposable camera filter and one simply called “Puffer.” A redesigned image editor interface lets users preview effects before applying them, or prompt an entirely custom edit if the built-in options don’t fit.

All image editing and generation capabilities also carry over to WhatsApp chats with Meta AI, making the feature accessible to billions of users through Meta’s messaging platform.

Pricing and Availability

Using Muse Image is free for “everyday creation,” according to Meta, with a paid Meta One subscription available for users who need more generations. Meta said limits could vary depending on factors like which service users access Muse Image from and their location. Once the free limit is reached, Meta prompts users to subscribe before their allotment resets.

What’s Next

Muse Image is available now in the US through the Meta AI app, Instagram, and WhatsApp, with more countries and Meta products to follow. Meta has also confirmed that a Muse Video model is in active development, signaling the company’s intent to compete across the full spectrum of generative media.

Muse-Image on Know the Tech

Meta Builds AI Detection Tool to Identify Images and Video Created With Its New Models

What Is Content Seal?

How the Detection Tool Works

Limitations and Gaps

Oversight Board Concerns

What’s Next

Meta's New Muse Image Model Accepts Instagram Accounts As a Prompt

What Is Muse Image?

Instagram Accounts As Prompts

Instagram Stories and WhatsApp Integration

Pricing and Availability

What’s Next