Multilayer media analysis
Combines visual, file, metadata, audio, behavioral, and cross-modal signals to assess whether content has been manipulated or synthetically generated.
Sensity AI
Freemium
Sensity AI is a deepfake and synthetic-media detection platform for analyzing videos, images, and audio. It combines pixel, file, metadata, and voice analysis with explainable forensic reporting and supports cloud, API, web-app, and on-premise deployments.
What is Sensity AI?
Sensity AI is a deepfake detection platform for verifying videos, images, and audio. It analyzes synthetic media, face manipulations, cloned voices, and file-level tampering using multiple forensic signals rather than a single detector.
The system examines pixel artifacts, facial and biometric inconsistencies, acoustic patterns, metadata, file structure, generation history, modification traces, and cross-modal inconsistencies. Users can submit files or URLs for automated analysis and review results through the platform dashboard.
Its primary use is investigative and forensic media authentication. The platform is positioned for digital evidence review, government and judicial work, disinformation analysis, fraud investigations, and cases involving synthetic or manipulated intimate imagery. Results can include confidence scores, manipulation labels, visual indicators, heatmaps, file-integrity findings, and structured forensic reports.
What can Sensity AI do?
Face manipulation detection
Analyzes images and video frame by frame for altered or replaced faces, with manipulation labels, confidence scores, dynamic bounding boxes, and pixel-level heatmaps.
AI-generated image and video analysis
Looks for pixel-level artifacts, segmentation-level anomalies, generative patterns, and other visual evidence associated with synthetic content.
File forensic analysis
Examines metadata, structural consistency, timestamps, modification traces, and file-generation history to identify possible editing, tampering, or anomalous media lineage.
Synthetic voice detection
Analyzes formant frequencies, pitch contours, spectral features, speech consistency, and other acoustic signals to identify voice cloning, text-to-speech synthesis, or manipulated recordings.
Forensic reporting and deployment options
Provides explainable outputs and auditable reports, while supporting cloud, web-app, API, on-premise server, workstation, and USB-dongle deployment configurations described by the product.
Use Cases
“Digital evidence authentication”
Forensic analysts can screen media during evidence intake, inspect visual and file-level indicators, and retain structured findings for later review or legal documentation.
“Government and judicial investigations”
Authorities can assess the authenticity of submitted images, videos, and audio and use explainable reports to document the technical basis of an assessment.
“Disinformation analysis”
Threat-intelligence and communications teams can examine suspected synthetic media used to impersonate people, influence perception, or undermine trust.
“Fraud and impersonation investigations”
Investigation teams can analyze manipulated media and cloned voices associated with social-engineering attacks, fake identities, or attempts to obtain money or data.
“Sensitive-image and sexual-crime investigations”
Specialist teams can use synthetic-media analysis when investigating AI-generated or manipulated intimate imagery and related abuse cases.
Frequently Asked Questions
What types of media can Sensity AI analyze?
The platform analyzes videos, images, and audio. The site describes capabilities for face manipulation, AI-generated images and videos, synthetic voices, voice cloning, and file-level media forensics.
How do users submit content?
The described workflow lets users drag and drop files or submit URLs. The platform then runs automated analysis, with the site stating that multiple items can be analyzed through the workflow.
What evidence does Sensity AI provide?
Depending on the analysis, outputs can include binary or suspiciousness results, confidence scores, manipulation types, face bounding boxes, pixel heatmaps, segmented visual overlays, metadata and file-integrity findings, and structured forensic reports.
Can Sensity AI be deployed outside the cloud?
Yes. The site describes on-premise server processing using dedicated NVIDIA GPUs, local workstation deployment, and a USB-dongle option for field teams or air-gapped environments, in addition to cloud access.
Is Sensity AI available for developers?
The product site lists a web app, API, documentation, and SDK resources. Specific endpoints, authentication details, pricing, and usage limits are not provided in the available source content.
Quick Facts
- Category
- Deepfake detection and synthetic-media forensics
- Media types
- Video, image, and audio
- Core workflow
- Submit files or URLs, run automated analysis, and review forensic evidence
- Access options
- Web app, API, SDK, cloud, and on-premise deployments
- On-premise configurations
- Server, workstation, and USB-dongle options are described
- Primary users
- Forensic analysts, investigators, government and judicial authorities, and threat-intelligence teams
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