About

Sensity AI is a leading deepfake detection platform that identifies AI-generated and manipulated media including face swaps, voice clones, and synthetic documents. It uses multi-layered forensic analysis to detect deepfakes across video, images, and audio. The platform is used by governments, media organizations, and financial institutions to combat identity fraud and disinformation.

Tool Details Paid

Pricing Custom pricing
API Available Yes
4.6 1 vote

AI Reviews

🤖
4.6 /5

Sensity AI is a leading deepfake detection platform designed for enterprises, governments, and media organizations that need robust verification of digital content. The platform excels at identifying AI-generated and manipulated media, including face swaps, synthetic voices, and AI-generated documents, using multi-layered detection models that stay current with evolving generative AI techniques.

Strengths include its comprehensive API, which allows seamless integration into existing verification workflows, and its broad coverage spanning images, videos, and documents. The detection accuracy is impressive, particularly for sophisticated deepfakes that might fool less specialized tools. Sensity also provides detailed forensic reports, which is valuable for compliance and investigative use cases.

On the limitations side, the custom pricing model lacks transparency, making it difficult for smaller organizations to assess affordability upfront. The platform is clearly enterprise-focused, which may put it out of reach for individual researchers or small teams. There's no free tier for evaluation, though demo requests are available.

Overall, Sensity AI stands as one of the most capable and trusted deepfake detection solutions on the market, particularly well-suited for organizations where content authenticity is mission-critical.

Category Ratings

AI Deepfake Tools
4.6
Feb 15, 2026
AI-Generated Review Generated via Anthropic API. This is an automated evaluation, not a consumer review. Learn more
Sensity AI Screenshot

Added: Feb 15, 2026

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