Description

Deepfake Detector is an AI-based tool for detecting manipulated audio, video, and image media. It offers separate detectors for video, images, and voice, along with confidence scores and detailed verdicts to help identify synthetic content before it spreads.

The product also provides developer APIs and a browser extension, making it usable both as a standalone checker and as part of an integration workflow. Visible site content highlights support for multiple media formats, multilingual detection, and analysis across major generation and voice-cloning tools.

How we innovate

What stands out is the tool’s split detection approach for video, image, and voice, combined with detailed signal-based verdicts, browser-level checking, and REST APIs in one platform.

Use Case / Scenario

1. Verify suspicious media

Check audio, video, or image files for signs of synthetic manipulation and review the confidence score and verdict to decide whether content may be fake.

2. Protect against scams and misinformation

Use the detector to help identify cloned voices, altered clips, or AI-generated images that could be used in fraud, impersonation, or deceptive reporting.

3. Integrate deepfake checks into products

Developers can use the REST APIs for image, voice, and general deepfake detection to add media verification into their own workflows and applications.

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