Google Gemini adds AI video detection to verify content made with its own tools

Reviewed byNidhi Govil

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Google expanded its Gemini app to verify AI-generated videos using SynthID watermark technology. Users can upload videos up to 100 MB and 90 seconds to check if they were made with Google AI. The tool scans both audio and visuals but only detects content from Google's own ecosystem, limiting its use as a universal deepfake detector.

Google Gemini Expands Video Verification Feature

Google has rolled out a new video verification feature within its Gemini app, allowing users to determine whether videos were created or edited using Google AI

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. This expansion builds on the image verification capability Google Gemini introduced in November, bringing the same transparency approach to video content

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. The process is straightforward: users upload a video and ask questions like "Was this generated using Google AI?" to receive detailed analysis about the content's origins

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Source: The Verge

Source: The Verge

How SynthID Watermark Technology Works

The video verification feature relies on SynthID, Google's proprietary digital watermarking technology that embeds imperceptible signals into AI-generated content

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. When scanning uploaded videos, Google Gemini examines both audio and visual components for these invisible markers. The tool provides more than a simple yes-or-no answer. Instead, it specifies which segments contain AI-generated elements, offering responses like "SynthID detected within the audio between 10-20 secs. No SynthID detected in the visuals"

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. This level of detail helps users understand exactly how and where AI was used in creating or editing the content.

Google claims to have watermarked more than 20 billion pieces of AI-generated content since introducing the technology in 2023

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. The company describes the SynthID watermark as imperceptible to humans but easily detectable by its software, though questions remain about how easily it can be removed or whether other social media platforms will detect and tag this metadata appropriately

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Source: Android Police

Source: Android Police

Critical Limitations in Detecting AI-Generated Content

The most significant constraint is that this AI video detection tool only works with content created using Google's own AI models. If a video was generated using non-Google AI tools, Gemini will return a message stating it cannot determine the origin

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. This limitation severely restricts its effectiveness as a universal detector for deepfakes and other AI-generated content circulating online. Additionally, file size limits restrict uploads to 100 MB and 90 seconds in duration, making the tool suitable for short clips and social media content but not longer videos

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Content Transparency Challenges Ahead

While Google's Nano Banano AI image generation model within Gemini embeds C2PA metadata, the general lack of coordinated tagging across social media platforms allows deepfakes to go undetected

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. This mirrors challenges faced by OpenAI when it launched its Sora app, where watermarks proved easy to scrub from AI-generated videos

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. The video verification feature is now available in all languages and countries where the Gemini app is supported, representing Google's effort to establish content transparency within its own ecosystem

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For users concerned about AI-generated content authenticity, this tool offers value primarily for verifying Google-created materials. The short-term benefit lies in quickly identifying content from Google's AI tools, but the long-term implications depend on whether industry-wide standards emerge. Without broader adoption of detection technologies across platforms and AI providers, distinguishing authentic content from sophisticated AI-generated videos will remain challenging. Users should watch for potential collaboration between major AI companies on universal watermarking standards and whether social media platforms will implement consistent tagging systems.

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